Playing Multiaction Adversarial Games: Online Evolutionary Planning Versus Tree Search

Author:

Justesen NielsORCID,Mahlmann Tobias,Risi Sebastian,Togelius JulianORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering,Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reinforcement Learning for Turn-Based Strategy Game;2023 10th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA);2023-10-07

2. Goal-Driven Adversarial Search for Distributed Self-Adaptive Systems;2023 IEEE International Conference on Software Services Engineering (SSE);2023-07

3. Playing a Multi-action, Adversarial Game in a Dynamic Environment;2022 IEEE Symposium Series on Computational Intelligence (SSCI);2022-12-04

4. Hybrid fleet capacitated vehicle routing problem with flexible Monte–Carlo Tree search;International Journal of Systems Science: Operations & Logistics;2022-08-03

5. Generalising Discrete Action Spaces with Conditional Action Trees;2021 IEEE Conference on Games (CoG);2021-08-17

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