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Offline Deep Reinforcement Learning Algorithms
Simons Institute for the Theory of Computing
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Dead-end Discovery: How offline reinforcement learning could assist healthcare decision-makers
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An introduction to Policy Gradient methods - Deep Reinforcement Learning
Arxiv Insights
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Q-Learning: Model Free Reinforcement Learning and Temporal Difference Learning
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A friendly introduction to deep reinforcement learning, Q-networks and policy gradients
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What Are the Statistical Limits of Offline Reinforcement Learning With Function Approximation?
Simons Institute for the Theory of Computing
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Stanford CS224R Deep Reinforcement Learning | Spring 2025 | Lecture 7: Offline RL
Stanford Online
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