May 18, 2021 · We propose COPA, a coach-player framework to tackle this problem. We assume the coach has a global view of the environment and coordinates the players.
We propose a coach-player framework for dynamic team composition of heterogeneous agents. • We introduce a variational objective to regularize the learning of ...
In real-world multi-agent systems, agents with different capabilities may join or leave without al- tering the team's overarching goals. Coordinating.
In real-world multi-agent systems, agents with different capabilities may join or leave without altering the team's overarching goals.
Nov 29, 2020 · Review: This paper addresses the important problem of being able to deal with heterogeneous teams of agents (that might change over time) in ...
Centralized training with decentralized execution (CTDE). CTDE assumes agents execute independently but uses the global information for training [2,3,4,5].
Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. Bo Liu, Qiang Liu, Lei Han, Peter Stone, Animesh Garg, Yuke Zhu. July, 2021.
Jul 19, 2021 · Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition. Jul 19, 2021. Speakers. BL. Bo Liu. Speaker · 1 follower. Follow.
In real-world multi-agent teams, agents with different capabilities may join or leave “on the fly” without altering the team's overarching goals.
This is a collection of recent MARL papers with their codes and talks (if available). Some highly-revelant (single-agent RL, multi-agent perception) papers ...