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Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes
Simons Institute for the Theory of Computing
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On the Global Convergence and Approximation Benefits of Policy Gradient Methods
Simons Institute for the Theory of Computing
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An introduction to Policy Gradient methods - Deep Reinforcement Learning
Arxiv Insights
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L3 Policy Gradients and Advantage Estimation (Foundations of Deep RL Series)
Pieter Abbeel
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Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games
Simons Institute for the Theory of Computing
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Global Optimality Guarantees for Policy Gradient Methods
Machine Learning Center at Georgia Tech
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RL Course by David Silver - Lecture 7: Policy Gradient Methods
Google DeepMind
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Policy Gradients Methods, Neural Policy Classes, and Distribution Shift
Simons Institute for the Theory of Computing
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Policy Gradient: Optimal Estimation, Convergence, and Generalization beyond Cumulative Rewards
Simons Institute for the Theory of Computing
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