all AI news
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning. (arXiv:2204.09418v2 [cs.MA] UPDATED)
May 19, 2022, 1:12 a.m. | Zhiwei Xu, Dapeng Li, Bin Zhang, Yuan Zhan, Yunpeng Bai, Guoliang Fan
cs.LG updates on arXiv.org arxiv.org
Recently, model-based agents have achieved better performance than model-free
ones using the same computational budget and training time in single-agent
environments. However, due to the complexity of multi-agent systems, it is
tough to learn the model of the environment. The significant compounding error
may hinder the learning process when model-based methods are applied to
multi-agent tasks. This paper proposes an implicit model-based multi-agent
reinforcement learning method based on value decomposition methods. Under this
method, agents can interact with the learned …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Software Engineer, Data Platforms
@ Whatnot | San Francisco, CA, Los Angeles, CA, New York City, Phoenix, AZ, Seattle, WA, Denver, CO
Staff Data Engineer, Data Platform
@ Lilt | Indianapolis
Business Data Analyst - New Division
@ Breakthru Beverage Group | Toronto, ON, Canada
Data Operations Associate
@ iCapital | New York City, United States
Senior Data Scientist, R&D
@ Plusgrade | Toronto, Ontario