DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching

no code implementations • 4 Feb 2024 • Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang

In offline reinforcement learning (RL), the performance of the learned policy highly depends on the quality of offline datasets.

D4RL Data Augmentation +4

ProAgent: Building Proactive Cooperative Agents with Large Language Models

no code implementations • 22 Aug 2023 • Ceyao Zhang, Kaijie Yang, Siyi Hu, ZiHao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

Building agents with adaptive behavior in cooperative tasks stands as a paramount goal in the realm of multi-agent systems.