The authors propose a multi-agent reinforcement learning approach to exploring complex decision-making. They uncover the memory-two bilateral reciprocity strategy that outperforms a wide range of strategies in iterated and evolutionary games.
- Qi Su
- Hongyu Wang
- Long Wang
