PyTorch论文复现 | Proximal Policy Optimization (PPO)
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打开封面 下载高清视频 观看高清视频 视频下载器
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Pytorch复现论文MADDPG(Multi Agent Deep Deterministic Policy Gradients)
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RLHF训练法从零复现,TRL版本复现,代码实战,大语言模型训练
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John Schulman | Natural Policy Gradients, TRPO, PPO
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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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[3] MDPs and Dynamic Programming
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Conservative Objective Models for Effective Offline Model-Based Optimization
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这绝对是2024年PyTorch框架天花板教程！清华大佬强力打造！100集带你吃透深度学习！
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John Schulman | Policy Gradient Methods: Tutorial and New Frontiers
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Marc Bellemare | A Distributional Perspective on Reinforcement Learning
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不愧是顶会收割机！迪哥精讲强化学习4大主流算法：PPO、Q-learning、DQN、A3C 50集入门到精通！
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Optimal policy evaluation using kernel-based temporal difference methods
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Diffusion Policy 结合 PPO 模仿+强化 （下）
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Sergey Levine | Unsupervised Reinforcement Learning
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2021 DeepMind x UCL RL Lecture Series - Multi-step & Off Policy-11
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L4 TRPO and PPO (Foundations of Deep RL Series)
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Challenges for Deep Reinforcement Learning in Complex Environments
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ICML 2020 Causal Reinforcement Learning
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Google || Munchausen Reinforcement Learning
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L1 MDPs, Exact Solution Methods, Max-ent RL (Foundations of Deep RL Series)
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Maximum Entropy Reinforcement Learning
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Deep Robust Reinforcement Learning and Regularization
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Deep Reinforcement Learning and Atari 2600
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DeepMind | The Role of Multi-Agent Learning in Artificial Intelligence Research
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L2 Deep Q-Learning (Foundations of Deep RL Series)
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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 - Exploration & Control-2
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2021 DeepMind x UCL RL Lecture Series - Deep Reinforcement Learning-12
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强推！这绝对是B站最全的（python＋机器学习＋深度学习）系列教程，草履虫都能学会，学不会你来锤爆我！人工智能/机器学习/深度学习/python/神经网络
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导师推荐的数据库！4个神级代码复现网站，里面99%的论文都能找到！
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ICML 2020 Sample Efficient Reinforcement Learning of Undercomplete POMDPs
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【Python】人形机器人——强化学习
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L6 Model-based RL (Foundations of Deep RL Series)
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(Sergey Levine)Offline Reinforcement Learning
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L5 DDPG and SAC (Foundations of Deep RL Series)
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Bonsai | Writing Great Reward Functions
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吹爆！这绝对是中国科学院最出名的科研进阶教程了没有之一，零基础阶段必看的论文写作指南，小白也能很好懂！
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ICAPS 2020: Tutorial on "Regularization in Reinforcement Learning"
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通俗理解大模型从预训练到微调实战！P-Tuning微调、Lora-QLora、RLHF基于人类反馈的强化学习
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我居然半天就学会了强化学习！华理计算机博士45集精讲，带你一次吃透PPO、Q-learning、DQN、A3C算法原理与实战
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2021 DeepMind x UCL RL Lecture Series - Planning & models-8