Bonsai | Writing Great Reward Functions
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Google || Munchausen Reinforcement Learning
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Maximum Entropy Reinforcement Learning
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ICAPS 2020: Tutorial on "Regularization in Reinforcement Learning"
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Multi-Agent Deep Reinforcement Learning for Connected Autonomous Driving
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ICML 2020 Causal Reinforcement Learning
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ICML 2020 Sample Efficient Reinforcement Learning of Undercomplete POMDPs
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FinRL_ A Deep Reinforcement Learning Library for Automated Trading in Quantitati
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[3] MDPs and Dynamic Programming
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Marc Bellemare | A Distributional Perspective on Reinforcement Learning
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DeepMind | The Role of Multi-Agent Learning in Artificial Intelligence Research
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Conservative Objective Models for Effective Offline Model-Based Optimization
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Challenges for Deep Reinforcement Learning in Complex Environments
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An Analysis of Reinforcement Learning with Function Approximation
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L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)
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双热点强强联合的发文方向：Transformer+强化学习！
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2021 DeepMind x UCL RL Lecture Series - Deep Reinforcement Learning-12
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Value-Based Deep RL Requires Explicit Regularization
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【李宏毅】强化学习课程完整版千万不要错过！简单明了的PPO算法讲解！深度强化学习、人工智能、机器学习、大模型
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基于MADDPG的多无人机目标合围
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【中英字幕】强化学习和模型预测控制18讲！四大名校教授精讲模型预测控制、最优控制、强化学习入门
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