no code implementations • 3 Apr 2024 • Weizhe Chen, Sven Koenig, Bistra Dilkina
Cooperative multi-agent reinforcement learning (MARL) has been an increasingly important research topic in the last half-decade because of its great potential for real-world applications.
no code implementations • 8 Jan 2024 • Weizhe Chen, Sven Koenig, Bistra Dilkina
With the explosive influence caused by the success of large language models (LLM) like ChatGPT and GPT-4, there has been an extensive amount of recent work showing that foundation models can be used to solve a large variety of tasks.
no code implementations • 3 Feb 2023 • Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen, Roni Khardon
DiSProD builds a symbolic graph that captures the distribution of future trajectories, conditioned on a given policy, using independence assumptions and approximate propagation of distributions.
1 code implementation • 21 Aug 2021 • Weizhe Chen, Zihan Zhou, Yi Wu, Fei Fang
One practical requirement in solving dynamic games is to ensure that the players play well from any decision point onward.
1 code implementation • 8 Sep 2019 • Haifeng Zhang, Weizhe Chen, Zeren Huang, Minne Li, Yaodong Yang, Wei-Nan Zhang, Jun Wang
Coordination is one of the essential problems in multi-agent systems.
Multiagent Systems