# Reinforcement Learning Finance ⎊ Area ⎊ Resource 1 --- ## What is the Algorithm of Reinforcement Learning Finance? Reinforcement Learning Finance (RLF) leverages algorithmic approaches to optimize trading strategies within cryptocurrency, options, and derivatives markets. These algorithms, often employing deep neural networks, learn through interaction with simulated or live market data, iteratively refining decision-making processes to maximize expected returns while managing risk. The core principle involves defining a reward function that incentivizes desired trading behaviors, such as capturing arbitrage opportunities or dynamically hedging portfolio exposure. Successful implementation requires careful consideration of market microstructure, transaction costs, and the non-stationarity inherent in financial time series. ## What is the Analysis of Reinforcement Learning Finance? The application of RLF necessitates rigorous analysis of market dynamics and the construction of robust reward functions. This involves identifying key risk factors, such as volatility skew and liquidity constraints, and incorporating them into the learning process. Furthermore, comprehensive backtesting and sensitivity analysis are crucial to evaluate the algorithm's performance across diverse market conditions and to mitigate the risk of overfitting. A thorough understanding of quantitative finance principles, including stochastic calculus and option pricing theory, is essential for effective RLF implementation. ## What is the Risk of Reinforcement Learning Finance? Managing risk is paramount in RLF, particularly given the inherent volatility of cryptocurrency and derivatives markets. Algorithms must be designed to avoid excessive leverage and to dynamically adjust position sizes based on market conditions and portfolio risk exposure. Techniques such as Value-at-Risk (VaR) and Expected Shortfall (ES) can be integrated into the reward function to penalize risky behavior. Continuous monitoring and stress testing are vital to ensure the algorithm remains resilient to unexpected market shocks and to prevent catastrophic losses. --- ## [Decentralized Finance](https://term.greeks.live/definition/decentralized-finance/) Financial services provided via blockchain protocols without traditional intermediaries, using automated smart contracts. ⎊ Definition ## [Quantitative Finance](https://term.greeks.live/definition/quantitative-finance/) Application of mathematical and statistical techniques to solve complex financial problems and price assets. ⎊ Definition ## [Decentralized Finance Infrastructure](https://term.greeks.live/definition/decentralized-finance-infrastructure/) The technological backbone enabling autonomous financial services on public blockchains without centralized intermediaries. ⎊ Definition ## [Decentralized Finance Derivatives](https://term.greeks.live/term/decentralized-finance-derivatives/) Meaning ⎊ Decentralized options re-architect risk transfer using smart contracts to provide permissionless, transparent, and capital-efficient financial primitives. ⎊ Definition ## [Decentralized Finance Protocols](https://term.greeks.live/definition/decentralized-finance-protocols/) Autonomous blockchain systems replacing traditional financial intermediaries with self-executing code for transparent service. ⎊ Definition ## [Quantitative Finance Models](https://term.greeks.live/definition/quantitative-finance-models/) Mathematical frameworks used to evaluate assets, quantify risk, and automate trading decisions through data analysis. ⎊ Definition ## [Decentralized Finance Architecture](https://term.greeks.live/term/decentralized-finance-architecture/) Meaning ⎊ Decentralized finance architecture enables permissionless risk transfer through collateralized, on-chain derivatives, shifting power from intermediaries to code-based systems. ⎊ Definition ## [Behavioral Finance](https://term.greeks.live/definition/behavioral-finance/) Study of how psychological biases and human error cause irrational decision-making in financial markets. ⎊ Definition ## [Decentralized Finance Primitives](https://term.greeks.live/term/decentralized-finance-primitives/) Meaning ⎊ Decentralized options primitives are essential for building robust risk management strategies and non-linear payoff structures within open financial architectures. ⎊ Definition ## [Decentralized Finance Risk](https://term.greeks.live/term/decentralized-finance-risk/) Meaning ⎊ Liquidation Cascade Risk is the systemic fragility in decentralized finance where automated liquidations create a high-velocity feedback loop of selling pressure. ⎊ Definition ## [Composable Finance](https://term.greeks.live/definition/composable-finance/) The modular integration of distinct financial protocols to create complex and innovative decentralized products. ⎊ Definition ## [Machine Learning](https://term.greeks.live/term/machine-learning/) Meaning ⎊ Machine Learning provides adaptive models for processing high-velocity, non-linear crypto data, enhancing volatility prediction and risk management in decentralized derivatives. ⎊ Definition ## [Machine Learning Models](https://term.greeks.live/definition/machine-learning-models/) Algorithms trained on data to predict market outcomes and automate complex trading strategies for financial instruments. ⎊ Definition ## [Decentralized Finance Evolution](https://term.greeks.live/term/decentralized-finance-evolution/) Meaning ⎊ Decentralized options rearchitect risk transfer by replacing centralized counterparty trust with automated smart contract guarantees. ⎊ Definition ## [Decentralized Finance Risk Management](https://term.greeks.live/term/decentralized-finance-risk-management/) Meaning ⎊ Decentralized finance risk management for options involves mitigating systemic exposure by translating traditional financial risk primitives into code-based architectures and modeling protocol physics. ⎊ Definition ## [Decentralized Finance Security](https://term.greeks.live/term/decentralized-finance-security/) Meaning ⎊ Decentralized finance security for options protocols ensures protocol solvency by managing counterparty risk and collateral through automated code rather than centralized institutions. ⎊ Definition ## [Permissionless Finance](https://term.greeks.live/term/permissionless-finance/) Meaning ⎊ Permissionless finance re-architects derivative market structure by eliminating central intermediaries, enabling automated risk transfer and capital efficiency via smart contracts. ⎊ Definition ## [Decentralized Finance Ecosystem](https://term.greeks.live/term/decentralized-finance-ecosystem/) Meaning ⎊ Decentralized options architectures are transparent risk management primitives that enable capital-efficient hedging and yield generation through on-chain automated market makers and structured vaults. ⎊ Definition ## [Decentralized Finance Architectures](https://term.greeks.live/term/decentralized-finance-architectures/) Meaning ⎊ Decentralized options architectures re-engineer risk transfer through smart contract logic, balancing capital efficiency against accurate pricing in a permissionless environment. ⎊ Definition ## [Machine Learning Risk Models](https://term.greeks.live/term/machine-learning-risk-models/) Meaning ⎊ Machine learning risk models provide a necessary evolution from traditional quantitative methods by quantifying and predicting risk factors invisible to legacy frameworks. ⎊ Definition ## [Deep Learning for Order Flow](https://term.greeks.live/term/deep-learning-for-order-flow/) Meaning ⎊ Deep learning for order flow analyzes high-frequency market data to predict short-term price movements and optimize execution strategies in complex, adversarial crypto environments. ⎊ Definition ## [Decentralized Finance Exploits](https://term.greeks.live/term/decentralized-finance-exploits/) Meaning ⎊ DeFi exploits leverage composability and transparent code to execute economic attacks, revealing systemic vulnerabilities that challenge traditional security assumptions in permissionless finance. ⎊ Definition ## [Behavioral Game Theory in Finance](https://term.greeks.live/term/behavioral-game-theory-in-finance/) Meaning ⎊ Behavioral Game Theory analyzes how cognitive biases and strategic interactions between participants impact options pricing and systemic risk in decentralized markets. ⎊ Definition ## [Machine Learning Risk Analytics](https://term.greeks.live/term/machine-learning-risk-analytics/) Meaning ⎊ Machine Learning Risk Analytics provides dynamic, data-driven risk modeling essential for managing non-linear volatility and systemic risk in crypto options. ⎊ Definition ## [Decentralized Finance Vulnerabilities](https://term.greeks.live/term/decentralized-finance-vulnerabilities/) Meaning ⎊ Decentralized Finance Vulnerabilities represent the emergent systemic risks inherent in protocol composability and automated capital flows, requiring a shift from static code audits to dynamic risk management. ⎊ Definition ## [Machine Learning Algorithms](https://term.greeks.live/term/machine-learning-algorithms/) Meaning ⎊ Machine learning algorithms process non-stationary crypto market data to provide dynamic risk management and pricing for decentralized options. ⎊ Definition ## [Decentralized Finance Capital Efficiency](https://term.greeks.live/term/decentralized-finance-capital-efficiency/) Meaning ⎊ Decentralized Finance Capital Efficiency for options measures the maximum risk exposure generated per unit of collateral, requiring sophisticated risk-based margin engines and portfolio margining to overcome overcollateralization. ⎊ Definition ## [Game Theory in Finance](https://term.greeks.live/definition/game-theory-in-finance/) Mathematical study of strategic interactions between participants to predict market behavior and optimize outcomes. ⎊ Definition ## [Adversarial Machine Learning Scenarios](https://term.greeks.live/term/adversarial-machine-learning-scenarios/) Meaning ⎊ Adversarial machine learning scenarios exploit vulnerabilities in financial models by manipulating data inputs, leading to mispricing or incorrect liquidations in crypto options protocols. ⎊ Definition ## [Adversarial Machine Learning](https://term.greeks.live/term/adversarial-machine-learning/) Meaning ⎊ Adversarial machine learning in crypto options involves exploiting automated financial models to create arbitrage opportunities or trigger systemic liquidations. ⎊ Definition --- ## 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This layered structure metaphorically represents the complexity of nested collateralization and risk stratification within decentralized finance DeFi protocols and options trading." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/permissionless-finance/", "url": "https://term.greeks.live/term/permissionless-finance/", "headline": "Permissionless Finance", "description": "Meaning ⎊ Permissionless finance re-architects derivative market structure by eliminating central intermediaries, enabling automated risk transfer and capital efficiency via smart contracts. ⎊ Definition", "datePublished": "2025-12-15T08:58:46+00:00", "dateModified": "2026-01-04T14:33:09+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/complex-layered-risk-mitigation-structure-for-collateralized-perpetual-futures-in-decentralized-finance-protocols.jpg", "width": 3850, "height": 2166, "caption": "A detailed abstract visualization shows a complex mechanical structure centered on a dark blue rod. Layered components, including a bright green core, beige rings, and flexible dark blue elements, are arranged in a concentric fashion, suggesting a compression or locking mechanism." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/decentralized-finance-ecosystem/", "url": "https://term.greeks.live/term/decentralized-finance-ecosystem/", "headline": "Decentralized Finance Ecosystem", "description": "Meaning ⎊ Decentralized options architectures are transparent risk management primitives that enable capital-efficient hedging and yield generation through on-chain automated market makers and structured vaults. ⎊ Definition", "datePublished": "2025-12-15T09:10:08+00:00", "dateModified": "2025-12-15T09:10:08+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/visualizing-multi-layered-collateralization-architecture-for-structured-derivatives-within-a-defi-protocol-ecosystem.jpg", "width": 3850, "height": 2166, "caption": "A highly stylized 3D rendered abstract design features a central object reminiscent of a mechanical component or vehicle, colored bright blue and vibrant green, nested within multiple concentric layers. These layers alternate in color, including dark navy blue, light green, and a pale cream shade, creating a sense of depth and encapsulation against a solid dark background." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/decentralized-finance-architectures/", "url": "https://term.greeks.live/term/decentralized-finance-architectures/", "headline": "Decentralized Finance Architectures", "description": "Meaning ⎊ Decentralized options architectures re-engineer risk transfer through smart contract logic, balancing capital efficiency against accurate pricing in a permissionless environment. ⎊ Definition", "datePublished": "2025-12-15T09:19:25+00:00", "dateModified": "2026-01-04T14:43:45+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/interconnected-smart-contract-composability-in-defi-protocols-illustrating-risk-layering-and-synthetic-asset-collateralization.jpg", "width": 3850, "height": 2166, "caption": "A high-resolution 3D digital artwork features an intricate arrangement of interlocking, stylized links and a central mechanism. The vibrant blue and green elements contrast with the beige and dark background, suggesting a complex, interconnected system." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/machine-learning-risk-models/", "url": "https://term.greeks.live/term/machine-learning-risk-models/", "headline": "Machine Learning Risk Models", "description": "Meaning ⎊ Machine learning risk models provide a necessary evolution from traditional quantitative methods by quantifying and predicting risk factors invisible to legacy frameworks. ⎊ Definition", "datePublished": "2025-12-15T10:16:19+00:00", "dateModified": "2025-12-15T10:16:19+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-infrastructure-automated-market-maker-protocol-execution-visualization-of-derivatives-pricing-models-and-risk-management.jpg", "width": 3850, "height": 2166, "caption": "The visualization presents smooth, brightly colored, rounded elements set within a sleek, dark blue molded structure. The close-up shot emphasizes the smooth contours and precision of the components." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/deep-learning-for-order-flow/", "url": "https://term.greeks.live/term/deep-learning-for-order-flow/", "headline": "Deep Learning for Order Flow", "description": "Meaning ⎊ Deep learning for order flow analyzes high-frequency market data to predict short-term price movements and optimize execution strategies in complex, adversarial crypto environments. ⎊ Definition", "datePublished": "2025-12-20T10:32:05+00:00", "dateModified": "2025-12-20T10:32:05+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/dynamic-liquidity-pool-vortex-visualizing-perpetual-swaps-market-microstructure-and-hft-order-flow-dynamics.jpg", "width": 3850, "height": 2166, "caption": "A highly stylized 3D render depicts a circular vortex mechanism composed of multiple, colorful fins swirling inwards toward a central core. The blades feature a palette of deep blues, lighter blues, cream, and a contrasting bright green, set against a dark blue gradient background." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/decentralized-finance-exploits/", "url": "https://term.greeks.live/term/decentralized-finance-exploits/", "headline": "Decentralized Finance Exploits", "description": "Meaning ⎊ DeFi exploits leverage composability and transparent code to execute economic attacks, revealing systemic vulnerabilities that challenge traditional security assumptions in permissionless finance. ⎊ Definition", "datePublished": "2025-12-20T10:44:35+00:00", "dateModified": "2026-01-04T18:32:20+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/detailed-view-of-on-chain-collateralization-within-a-decentralized-finance-options-contract-protocol.jpg", "width": 3850, "height": 2166, "caption": "A close-up view depicts an abstract mechanical component featuring layers of dark blue, cream, and green elements fitting together precisely. The central green piece connects to a larger, complex socket structure, suggesting a mechanism for joining or locking." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/behavioral-game-theory-in-finance/", "url": "https://term.greeks.live/term/behavioral-game-theory-in-finance/", "headline": "Behavioral Game Theory in Finance", "description": "Meaning ⎊ Behavioral Game Theory analyzes how cognitive biases and strategic interactions between participants impact options pricing and systemic risk in decentralized markets. ⎊ Definition", "datePublished": "2025-12-21T09:00:16+00:00", "dateModified": "2025-12-21T09:00:16+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/layered-risk-exposure-and-structured-derivatives-architecture-in-decentralized-finance-protocol-design.jpg", "width": 3850, "height": 2166, "caption": "A 3D rendered exploded view displays a complex mechanical assembly composed of concentric cylindrical rings and components in varying shades of blue, green, and cream against a dark background. The components are separated to highlight their individual structures and nesting relationships." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/machine-learning-risk-analytics/", "url": "https://term.greeks.live/term/machine-learning-risk-analytics/", "headline": "Machine Learning Risk Analytics", "description": "Meaning ⎊ Machine Learning Risk Analytics provides dynamic, data-driven risk modeling essential for managing non-linear volatility and systemic risk in crypto options. ⎊ Definition", "datePublished": "2025-12-21T09:30:48+00:00", "dateModified": "2025-12-21T09:30:48+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-risk-management-algorithm-predictive-modeling-engine-for-options-market-volatility.jpg", "width": 3850, "height": 2166, "caption": "A futuristic device featuring a glowing green core and intricate mechanical components inside a cylindrical housing, set against a dark, minimalist background. The device's sleek, dark housing suggests advanced technology and precision engineering, mirroring the complexity of modern financial instruments." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/decentralized-finance-vulnerabilities/", "url": "https://term.greeks.live/term/decentralized-finance-vulnerabilities/", "headline": "Decentralized Finance Vulnerabilities", "description": "Meaning ⎊ Decentralized Finance Vulnerabilities represent the emergent systemic risks inherent in protocol composability and automated capital flows, requiring a shift from static code audits to dynamic risk management. ⎊ Definition", "datePublished": "2025-12-21T09:55:18+00:00", "dateModified": "2026-01-04T18:59:50+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/multi-layered-risk-tranches-in-a-decentralized-finance-collateralized-debt-obligation-smart-contract-mechanism.jpg", "width": 3850, "height": 2166, "caption": "An intricate mechanical structure composed of dark concentric rings and light beige sections forms a layered, segmented core. A bright green glow emanates from internal components, highlighting the complex interlocking nature of the assembly." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/machine-learning-algorithms/", "url": "https://term.greeks.live/term/machine-learning-algorithms/", "headline": "Machine Learning Algorithms", "description": "Meaning ⎊ Machine learning algorithms process non-stationary crypto market data to provide dynamic risk management and pricing for decentralized options. ⎊ Definition", "datePublished": "2025-12-21T09:59:31+00:00", "dateModified": "2025-12-21T09:59:31+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/high-frequency-trading-algorithmic-execution-predatory-market-dynamics-and-order-book-latency-arbitrage.jpg", "width": 3850, "height": 2166, "caption": "The image displays a close-up view of a high-tech robotic claw with three distinct, segmented fingers. The design features dark blue armor plating, light beige joint sections, and prominent glowing green lights on the tips and main body." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/decentralized-finance-capital-efficiency/", "url": "https://term.greeks.live/term/decentralized-finance-capital-efficiency/", "headline": "Decentralized Finance Capital Efficiency", "description": "Meaning ⎊ Decentralized Finance Capital Efficiency for options measures the maximum risk exposure generated per unit of collateral, requiring sophisticated risk-based margin engines and portfolio margining to overcome overcollateralization. ⎊ Definition", "datePublished": "2025-12-21T10:15:38+00:00", "dateModified": "2025-12-21T10:15:38+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/high-efficiency-decentralized-finance-protocol-engine-driving-market-liquidity-and-algorithmic-trading-efficiency.jpg", "width": 3850, "height": 2166, "caption": "A high-tech propulsion unit or futuristic engine with a bright green conical nose cone and light blue fan blades is depicted against a dark blue background. The main body of the engine is dark blue, framed by a white structural casing, suggesting a high-efficiency mechanism for forward movement." } }, { "@type": "Article", "@id": "https://term.greeks.live/definition/game-theory-in-finance/", "url": "https://term.greeks.live/definition/game-theory-in-finance/", "headline": "Game Theory in Finance", "description": "Mathematical study of strategic interactions between participants to predict market behavior and optimize outcomes. ⎊ Definition", "datePublished": "2025-12-22T08:24:29+00:00", "dateModified": "2026-04-01T18:11:56+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-black-box-mechanism-within-decentralized-finance-synthetic-assets-high-frequency-trading.jpg", "width": 3850, "height": 2166, "caption": "An intricate mechanical device with a turbine-like structure and gears is visible through an opening in a dark blue, mesh-like conduit. The inner lining of the conduit where the opening is located glows with a bright green color against a black background." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/adversarial-machine-learning-scenarios/", "url": "https://term.greeks.live/term/adversarial-machine-learning-scenarios/", "headline": "Adversarial Machine Learning Scenarios", "description": "Meaning ⎊ Adversarial machine learning scenarios exploit vulnerabilities in financial models by manipulating data inputs, leading to mispricing or incorrect liquidations in crypto options protocols. ⎊ Definition", "datePublished": "2025-12-22T09:06:42+00:00", "dateModified": "2025-12-22T09:06:42+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/complex-algorithmic-structure-representing-financial-engineering-and-derivatives-risk-management-in-decentralized-finance-protocols.jpg", "width": 3850, "height": 2166, "caption": "A 3D rendered abstract object featuring sharp geometric outer layers in dark grey and navy blue. The inner structure displays complex flowing shapes in bright blue, cream, and green, creating an intricate layered design." } }, { "@type": "Article", "@id": "https://term.greeks.live/term/adversarial-machine-learning/", "url": "https://term.greeks.live/term/adversarial-machine-learning/", "headline": "Adversarial Machine Learning", "description": "Meaning ⎊ Adversarial machine learning in crypto options involves exploiting automated financial models to create arbitrage opportunities or trigger systemic liquidations. ⎊ Definition", "datePublished": "2025-12-22T10:52:56+00:00", "dateModified": "2025-12-22T10:52:56+00:00", "author": { "@type": "Person", "name": "Greeks.live", "url": "https://term.greeks.live/author/greeks-live/" }, "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/risk-stratification-within-decentralized-finance-derivatives-and-intertwined-digital-asset-mechanisms.jpg", "width": 3850, "height": 2166, "caption": "The composition features layered abstract shapes in vibrant green, deep blue, and cream colors, creating a dynamic sense of depth and movement. These flowing forms are intertwined and stacked against a dark background." } } ], "image": { "@type": "ImageObject", "url": "https://term.greeks.live/wp-content/uploads/2025/12/systemic-risk-intertwined-liquidity-cascades-in-decentralized-finance-protocol-architecture.jpg" } } ``` --- **Original URL:** https://term.greeks.live/area/reinforcement-learning-finance/resource/1/