GeT Left的博客
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图形学 4 C++ 5 编程随想 1 灰原 1 强化学习 11 新闻 1
强化学习目录 强化学习目录
论文笔记 &《RL:An Introduction》读书笔记 & 强化学习代码实现
2021-08-16 强化学习
强化学习
[Paper][RL][Nature 2018] AlphaGo Zero: 无需监督学习的AlphaGo [Paper][RL][Nature 2018] AlphaGo Zero: 无需监督学习的AlphaGo
Nature 2018 - Mastering the game of Go without Human Knowledge
2021-08-16 强化学习
强化学习 MCTS Model-Based RL
[Paper][RL][Nature 2016] AlphaGo: Deep RL 与 Tree Search 的成功结合 [Paper][RL][Nature 2016] AlphaGo: Deep RL 与 Tree Search 的成功结合
Nature 2016 - Mastering the game of Go with deep neural networks and tree search
2021-08-10 强化学习
强化学习 MCTS Model-Based RL
[Paper][RL][AAAI 2018] Rainbow [Paper][RL][AAAI 2018] Rainbow
论文：[AAAI 2018] Rainbow: Combining Improvements in Deep Reinforcement Learning 后续工作: [ICML 2021]Revisiting Rainbow: Prom
2021-08-05 强化学习
强化学习 Model-Free Deep Q-Learning
[Paper][RL][ICML 2017] Distributional RL [Paper][RL][ICML 2017] Distributional RL
ICML 2017 A Distributional Perspective on Reinforcement Learning
2021-08-02 强化学习
强化学习 Model-Free Deep Q-Learning
[Paper][RL][ICML 2016] Dueling DQN [Paper][RL][ICML 2016] Dueling DQN
ICML 2016 - Dueling Network Architectures for Deep Reinforcement Learning 笔记
2021-08-01 强化学习
强化学习 Model-Free Deep Q-Learning
[Paper][RL][AAAI 2016] Double DQN [Paper][RL][AAAI 2016] Double DQN
AAAI 2016 - Deep Reinforcement Learning with Double Q-learning
2021-07-31 强化学习
强化学习 Model-Free Deep Q-Learning
[Paper][RL][ICLR 2016] Prioritized Experience Replay [Paper][RL][ICLR 2016] Prioritized Experience Replay
ICLR 2016 Prioritized Experience Replay
2021-07-29 强化学习
强化学习 Model-Free Deep Q-Learning
[Paper][RL][ICML 2016] A3C [Paper][RL][ICML 2016] A3C
A3C的读书笔记
2021-07-28 强化学习
强化学习 Policy Gradient
[Paper][RL][Nature 2015] DQN论文笔记 及 实现 [Paper][RL][Nature 2015] DQN论文笔记 及 实现
DQN的论文笔记，并在Breakout上实现了DQN。
2021-07-21 强化学习
强化学习 python Model-Free Deep Q-Learning
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