Search Results for author: Binbin Zhou

Found 2 papers, 2 papers with code

Policy Representation via Diffusion Probability Model for Reinforcement Learning

1 code implementation • 22 May 2023 • Long Yang, Zhixiong Huang, Fenghao Lei, Yucun Zhong, Yiming Yang, Cong Fang, Shiting Wen, Binbin Zhou, Zhouchen Lin

Popular reinforcement learning (RL) algorithms tend to produce a unimodal policy distribution, which weakens the expressiveness of complicated policy and decays the ability of exploration.

Continuous Control reinforcement-learning +1

Paper
Code

Constrained Update Projection Approach to Safe Policy Optimization

3 code implementations • 15 Sep 2022 • Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan

Compared to previous safe RL methods, CUP enjoys the benefits of 1) CUP generalizes the surrogate functions to generalized advantage estimator (GAE), leading to strong empirical performance.

Reinforcement Learning (RL) Safe Reinforcement Learning

Paper
Code

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