1. A survey of Monte Carlo tree search methods;Browne;IEEE Transactions on Computational Intelligence and AI in Games,2012
2. Brunnbauer, A., Berducci, L., Brandstätter, A., Lechner, M., Hasani, R., rus, D., et al. (2021). Model-based versus model-free deep reinforcement learning for autonomous racing cars: Technical report, arXiv 2103.04909 [cs].
3. Burda, Y., Edwards, H., Storkey, A., & Klimov, O. (2018). Exploration by random network distillation: Technical report, arXiv 1810.12894 [cs.LG].
4. A comprehensive survey of multiagent reinforcement learning;Busoniu;IEEE Transactions on Cybernetics,2008
5. Interpretable utility-based models applied to the fightingice platform;Chen,2021