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Yiyuan Yang
2022-11-21 19:09:00 +08:00
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| | Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor(**SAC**) [[Markdown格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/Soft%20Actor-Critic_Off-Policy%20Maximum%20Entropy%20Deep%20Reinforcement%20Learning%20with%20a%20Stochastic%20Actor.md) [[PDF格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/PDF/Soft%20Actor-Critic_Off-Policy%20Maximum%20Entropy%20Deep%20Reinforcement%20Learning%20with%20a%20Stochastic%20Actor.pdf) | https://arxiv.org/abs/1801.01290 | |
| | Deterministic Policy Gradient Algorithms (**DPG**) [[Markdown格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/Deterministic%20Policy%20Gradient%20Algorithms.md) [[PDF格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/PDF/Deterministic%20Policy%20Gradient%20Algorithms.pdf) | http://proceedings.mlr.press/v32/silver14.pdf | |
| | Continuous Control With Deep Reinforcement Learning (**DDPG**) | https://arxiv.org/abs/1509.02971 | |
| | Addressing Function Approximation Error in Actor-Critic Methods (**TD3**) [[Markdown格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/Addressing%20Function%20Approximation%20Error%20in%20Actor-Critic%20Methods.md) | https://arxiv.org/abs/1802.09477 | |
| | Addressing Function Approximation Error in Actor-Critic Methods (**TD3**) [[Markdown格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/Addressing%20Function%20Approximation%20Error%20in%20Actor-Critic%20Methods.md) [[PDF格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/PDF/Addressing%20Function%20Approximation%20Error%20in%20Actor-Critic%20Methods.pdf)| https://arxiv.org/abs/1802.09477 | |
| | A Distributional Perspective on Reinforcement Learning (**C51**) [[Markdown格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/A%20Distributional%20Perspective%20on%20Reinforcement%20Learning.md) [[PDF格式]](https://github.com/datawhalechina/easy-rl/blob/master/papers/Policy_gradient/PDF/A%20Distributional%20Perspective%20on%20Reinforcement%20Learning.pdf) | https://arxiv.org/abs/1707.06887 | |
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