Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations

Keisuke Fujii, Kazushi Tsutsui, Atom Scott +3

Modeling of real-world biological multi-agents is a fundamental problem in various scientific and engineering fields. Reinforcement learning (RL) is a powerful framework to generat…