2021 DeepMind x UCL RL Lecture Series - Exploration & Control-2
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2021 DeepMind x UCL RL Lecture Series - Deep Reinforcement Learning-12
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PyTorch论文复现 | Proximal Policy Optimization (PPO)
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2021 DeepMind x UCL RL Lecture Series - Approximate Dynamic Programming-10
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2021 DeepMind x UCL RL Lecture Series - Planning & models-8
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2021 DeepMind x UCL RL Lecture Series - Multi-step & Off Policy-11
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2021 DeepMind x UCL RL Lecture Series - Deep Reinforcement Learning-13
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L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)
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Pytorch复现论文MADDPG(Multi Agent Deep Deterministic Policy Gradients)
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L6 Model-based RL (Foundations of Deep RL Series)
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L5 DDPG and SAC (Foundations of Deep RL Series)
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L4 TRPO and PPO (Foundations of Deep RL Series)
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Value-Based Deep RL Requires Explicit Regularization
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FinRL_ A Deep Reinforcement Learning Library for Automated Trading in Quantitati
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L2 Deep Q-Learning (Foundations of Deep RL Series)
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使用ROS2-Control + RL来控制四足机器人
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Conservative Objective Models for Effective Offline Model-Based Optimization
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DeepMind | The Role of Multi-Agent Learning in Artificial Intelligence Research
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Google || Munchausen Reinforcement Learning
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[3] MDPs and Dynamic Programming
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ICAPS 2020: Tutorial on "Regularization in Reinforcement Learning"
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Bonsai | Writing Great Reward Functions
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Alexander Grishin: Controlling the overestimation bias
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Deep Robust Reinforcement Learning and Regularization
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Deep Reinforcement Learning and Atari 2600
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NeurIPS 2019 | Reinforcement Learning: Past, Present, and Future Perspectives
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ICML 2020 Causal Reinforcement Learning
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(Sergey Levine)Offline Reinforcement Learning
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Challenges for Deep Reinforcement Learning in Complex Environments
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如何用rl_sar采集训练执行器网络的数据
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John Schulman | Natural Policy Gradients, TRPO, PPO
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Sergey Levine | Unsupervised Reinforcement Learning
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太完整了！我居然3天时间就掌握了【机器学习+深度学习+强化学习+PyTorch】理论到实战，多亏了这个课程，绝对通俗易懂纯干货分享！
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Maximum Entropy Reinforcement Learning
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【Actuate 2024】中文字幕｜机器人基础模型 - Robotic Foundation Models｜Sergey Levine
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Marc Bellemare | A Distributional Perspective on Reinforcement Learning
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强推！2024年最适合初学者入门学习的《机器学习+深度学习+强化学习》上海交大和腾讯强强联合打造！太全面了！
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Multi-Agent Deep Reinforcement Learning for Connected Autonomous Driving
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John Schulman | Policy Gradient Methods: Tutorial and New Frontiers
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【ChatGPT4.0手机版】国内无需魔法，无限次数使用教程来了！
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ICML 2020 Sample Efficient Reinforcement Learning of Undercomplete POMDPs