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A Distributional Perspective on Reinforcement Learning.md

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Action-depedent Control Variates for Policy Optimization via Stein’s Identity.md

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Addressing Function Approximation Error in Actor-Critic Methods.md

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Asynchronous Methods for Deep Reinforcement Learning.md

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Bridging the Gap Between Value and Policy Based Reinforcement Learning.md

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Deterministic Policy Gradient Algorithms.md

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High-Dimensional Continuous Control Using Generalized Advantage Estimation.md

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Proximal Policy Optimization Algorithms.md

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Scalable trust-region method for deep reinforcement learning using Kronecker-factored.md

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Soft Actor-Critic_Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.md

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The Mirage of Action-Dependent Baselines in Reinforcement Learning.md

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Trust Region Policy Optimization.md

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