DiffSkill: Improving Reinforcement Learning through diffusion-based skill denoiser for robotic manipulation

Author:

Liu SiaoORCID,Liu YangORCID,Hu Linqiang,Zhou ZiqingORCID,Xie YiORCID,Zhao Zhile,Li Wei,Gan Zhongxue

Funder

Shanghai Municipality Science and Technology Commission

China Scholarship Council

Publisher

Elsevier BV

Reference40 articles.

1. S. Liu, Z. Chen, Y. Liu, Y. Wang, D. Yang, Z. Zhao, Z. Zhou, X. Yi, W. Li, W. Zhang, et al., Improving generalization in visual reinforcement learning via conflict-aware gradient agreement augmentation, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023, pp. 23436–23446.

2. Open-ended diverse solution discovery with regulated behavior patterns for cross-domain adaptation;Xu,2023

3. Generalized video anomaly event detection: Systematic taxonomy and comparison of deep models;Liu,2023

4. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor;Haarnoja,2018

5. Proximal policy optimization algorithms;Schulman,2017

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