Cheat-FlipIt: An Approach to Modeling and Perception of a Deceptive Opponent

Author:

Yao QianORCID,Xiong XinliORCID,Wang Yongjie

Publisher

Springer Nature Singapore

Reference27 articles.

1. Bard, N., Johanson, M., Burch, N., Bowling, M.: Online implicit agent modelling. In: Proceedings of the 2013 International Conference on Autonomous Agents and Multi-Agent Systems, pp. 255–262 (2013)

2. Brown, N., Sandholm, T.: Superhuman AI for multiplayer poker. Science 365(6456), 885–890 (2019)

3. Everett, R., Roberts, S.J.: Learning against non-stationary agents with opponent modelling and deep reinforcement learning. In: AAAI Spring Symposia (2018)

4. Foerster, J.N., Chen, R.Y., Al-Shedivat, M., Whiteson, S., Abbeel, P., Mordatch, I.: Learning with opponent-learning awareness. arXiv preprint arXiv:1709.04326 (2017)

5. Fortunato, M., et al.: Noisy networks for exploration. arXiv preprint arXiv:1706.10295 (2017)

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