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Title: GitHub - deligentfool/policy_based_RL: The implement of the policy gradient RL algorithm with pytorch · GitHub

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Description: The implement of the policy gradient RL algorithm with pytorch - deligentfool/policy_based_RL

Open Graph Description: The implement of the policy gradient RL algorithm with pytorch - deligentfool/policy_based_RL

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https://github.com/deligentfool/policy_based_RL#related-papers
Asynchronous Methods for Deep Reinforcement Learninghttp://arxiv.org/abs/1602.01783
Sample Efficient Actor-Critic with Experience Replayhttp://arxiv.org/abs/1611.01224
Trust Region Policy Optimizationhttp://arxiv.org/abs/1502.05477
Proximal Policy Optimization Algorithmshttps://arxiv.org/abs/1707.06347v2
Curiosity-driven Exploration by Self-supervised Predictionhttp://arxiv.org/abs/1705.05363
Exploration by Random Network Distillationhttp://arxiv.org/abs/1810.12894
Continuous control with deep reinforcement learninghttp://arxiv.org/abs/1509.02971
Addressing Function Approximation Error in Actor-Critic Methodshttp://arxiv.org/abs/1802.09477
Soft Actor-Critic Algorithms and Applicationshttp://arxiv.org/abs/1812.05905
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actorhttp://arxiv.org/abs/1801.01290
Soft Actor-Critic for Discrete Action Settingshttp://arxiv.org/abs/1910.07207
DSAC: Distributional Soft Actor Critic for Risk-Sensitive Reinforcement Learninghttp://arxiv.org/abs/2004.14547
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