23 lines
3.2 KiB
Markdown
23 lines
3.2 KiB
Markdown
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| 类别 | 论文题目 | 原文链接 | 其他链接（视频解读） |
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| DQN | Playing Atari with Deep Reinforcement Learning | https://arxiv.org/abs/1312.5602 | |
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| | Deep Recurrent Q-Learning for Partially Observable MDPs | https://arxiv.org/abs/1507.06527 | |
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| | Dueling Network Architectures for Deep Reinforcement Learning (**Dueling DQN**) | https://arxiv.org/abs/1511.06581 | |
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| | Deep Reinforcement Learning with Double Q-learning (**Double DQN**) | https://arxiv.org/abs/1509.06461 | |
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| | Prioritized Experience Replay (**PER**) | https://arxiv.org/abs/1511.05952 | |
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| | Rainbow: Combining Improvements in Deep Reinforcement Learning (**Rainbow**) | https://arxiv.org/abs/1710.02298 | |
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| 策略梯度 | Asynchronous Methods for Deep Reinforcement Learning (**A3C**) | https://arxiv.org/abs/1602.01783 | |
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| | Trust Region Policy Optimization (**TRPO**) | https://arxiv.org/abs/1502.05477 | |
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| | High-Dimensional Continuous Control Using Generalized Advantage Estimation (**GAE**) | https://arxiv.org/abs/1506.02438 | |
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| | Proximal Policy Optimization Algorithms (**PPO**) | https://arxiv.org/abs/1707.06347 | |
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| | Emergence of Locomotion Behaviours in Rich Environments (**PPO-Penalty**) | https://arxiv.org/abs/1707.02286 | |
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| | Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (**ACKTP**) | https://arxiv.org/abs/1708.05144 | |
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| | Sample Efficient Actor-Critic with Experience Replay (**ACER**) | https://arxiv.org/abs/1611.01224 | |
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| | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with (**SAC**) | https://arxiv.org/abs/1801.01290 | |
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| | Deterministic Policy Gradient Algorithms (**DPG**) | http://proceedings.mlr.press/v32/silver14.pdf | |
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| | Continuous Control With Deep Reinforcement Learning (**DDPG**) | https://arxiv.org/abs/1509.02971 | |
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| | Addressing Function Approximation Error in Actor-Critic Methods (**TD3**) | https://arxiv.org/abs/1802.09477 | |
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| | A Distributional Perspective on Reinforcement Learning (**C51**) | https://arxiv.org/abs/1707.06887 | |
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