Search Results for author: Jiaxuan Gao

Found 5 papers, 4 papers with code

LLM-Powered Hierarchical Language Agent for Real-time Human-AI Coordination

1 code implementation23 Dec 2023 Jijia Liu, Chao Yu, Jiaxuan Gao, Yuqing Xie, Qingmin Liao, Yi Wu, Yu Wang

AI agents powered by Large Language Models (LLMs) have made significant advances, enabling them to assist humans in diverse complex tasks and leading to a revolution in human-AI coordination.

Code Generation

Learning Efficient Multi-Agent Cooperative Visual Exploration

no code implementations12 Oct 2021 Chao Yu, Xinyi Yang, Jiaxuan Gao, Huazhong Yang, Yu Wang, Yi Wu

In this paper, we extend the state-of-the-art single-agent visual navigation method, Active Neural SLAM (ANS), to the multi-agent setting by introducing a novel RL-based planning module, Multi-agent Spatial Planner (MSP). MSP leverages a transformer-based architecture, Spatial-TeamFormer, which effectively captures spatial relations and intra-agent interactions via hierarchical spatial self-attentions.

Reinforcement Learning (RL) Visual Navigation

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

13 code implementations2 Mar 2021 Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang, Alexandre Bayen, Yi Wu

This is often due to the belief that PPO is significantly less sample efficient than off-policy methods in multi-agent systems.

Multi-agent Reinforcement Learning reinforcement-learning +3

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