research
∙
09/30/2020
PettingZoo: Gym for Multi-Agent Reinforcement Learning
This paper introduces PettingZoo, a library of diverse sets of multi-age...
share
research
∙
09/28/2020
Agent Environment Cycle Games
Partially Observable Stochastic Games (POSGs), are the most general mode...
research
∙
09/20/2020
Multiplayer Support for the Arcade Learning Environment
The Arcade Learning Environment ("ALE") is a widely used library in the ...
research
∙
08/17/2020
SuperSuit: Simple Microwrappers for Reinforcement Learning Environments
In reinforcement learning, wrappers are universally used to transform th...
research
∙
06/11/2020
Multi-Agent Informational Learning Processes
We introduce a new mathematical model of multi-agent reinforcement learn...
research
∙
05/27/2020
Parameter Sharing is Surprisingly Useful for Multi-Agent Deep Reinforcement Learning
"Nonstationarity" is a fundamental problem in cooperative multi-agent re...
research
∙
06/07/2019
