2 code implementations • NeurIPS 2021 • J. K. Terry, Benjamin Black, Nathaniel Grammel, Mario Jayakumar, Ananth Hari, Ryan Sullivan, Luis Santos, Rodrigo Perez, Caroline Horsch, Clemens Dieffendahl, Niall L. Williams, Yashas Lokesh, Praveen Ravi
This paper introduces the PettingZoo library and the accompanying Agent Environment Cycle ("AEC") games model.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 28 Sep 2020 • Justin K. Terry, Nathaniel Grammel, Benjamin Black, Ananth Hari, Caroline Horsch, Luis Santos
Partially Observable Stochastic Games (POSGs) are the most general and common model of games used in Multi-Agent Reinforcement Learning (MARL).
Multi-agent Reinforcement Learning reinforcement-learning +1
1 code implementation • 17 Aug 2020 • Justin K. Terry, Benjamin Black, Ananth Hari
In reinforcement learning, wrappers are universally used to transform the information that passes between a model and an environment.