Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients

Bozhidar Vasilev, Tarun Gupta, Bei Peng +1

Policy gradient methods are an attractive approach to multi-agent reinforcement learning problems due to their convergence properties and robustness in partially observable scenari…