COMBO: Compositional World Models for Embodied Multi-Agent Cooperation

no code implementations • 16 Apr 2024 • Hongxin Zhang, Zeyuan Wang, Qiushi Lyu, Zheyuan Zhang, Sunli Chen, Tianmin Shu, Yilun Du, Chuang Gan

In this paper, we investigate the problem of embodied multi-agent cooperation, where decentralized agents must cooperate given only partial egocentric views of the world.

Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble

no code implementations • 30 Jan 2024 • Shun Zhang, Zhenfang Chen, Sunli Chen, Yikang Shen, Zhiqing Sun, Chuang Gan

Reinforcement Learning from Human Feedback (RLHF) is a widely adopted approach for aligning large language models with human values.

Language Modelling Large Language Model +1

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments

1 code implementation • 23 Jan 2024 • Qinhong Zhou, Sunli Chen, Yisong Wang, Haozhe Xu, Weihua Du, Hongxin Zhang, Yilun Du, Joshua B. Tenenbaum, Chuang Gan

Recent advances in high-fidelity virtual environments serve as one of the major driving forces for building intelligent embodied agents to perceive, reason and interact with the physical world.

Common Sense Reasoning Decision Making +1