no code implementations • ICLR 2019 • David Earl Hostallero, Daewoo Kim, Kyunghwan Son, Yung Yi
Under these semi-cooperative scenarios, popular methods of centralized training with decentralized execution for inducing cooperation and removing the non-stationarity problem do not work well due to lack of a common shared reward as well as inscalability in centralized training.
Multi-agent Reinforcement Learning Reinforcement Learning (RL)
3 code implementations • 14 May 2019 • Kyunghwan Son, Daewoo Kim, Wan Ju Kang, David Earl Hostallero, Yung Yi
We explore value-based solutions for multi-agent reinforcement learning (MARL) tasks in the centralized training with decentralized execution (CTDE) regime popularized recently.
Ranked #1 on SMAC+ on Off_Superhard_parallel
Multi-agent Reinforcement Learning reinforcement-learning +2