Efficient Use of heuristics for accelerating XCS-based Policy Learning in Markov Games

Hao Chen, Chang Wang, Jian Huang +1

In Markov games, playing against non-stationary opponents with learning ability is still challenging for reinforcement learning (RL) agents, because the opponents can evolve their…