Prompt-based Visual Alignment for Zero-shot Policy Transfer

no code implementations • 5 Jun 2024 • Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

With explicit constraints of semantic information, PVA can learn unified cross-domain representation under limited access to cross-domain data and achieves great zero-shot generalization ability in unseen domains.

Context Shift Reduction for Offline Meta-Reinforcement Learning

1 code implementation • NeurIPS 2023 • Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen

In this paper, we propose a novel approach called Context Shift Reduction for OMRL (CSRO) to address the context shift problem with only offline datasets.

Meta Reinforcement Learning reinforcement-learning +1

Online Prototype Alignment for Few-shot Policy Transfer

1 code implementation • 12 Jun 2023 • Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen

Domain adaptation in reinforcement learning (RL) mainly deals with the changes of observation when transferring the policy to a new environment.

Domain Adaptation Reinforcement Learning (RL)