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Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing.

, , , , and . CoG, page 1-8. IEEE, (2021)

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Towards Applicable State Abstractions: a Preview in Strategy, , and . The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) - RL as a Model of Agency, page 1-7. (2022)A Hierarchical Approach for MARLÖ Challenge., and . CoG, page 1-4. IEEE, (2019)Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network., , , , and . CoRR, (2020)Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network., , , , and . ECML/PKDD (1), volume 12975 of Lecture Notes in Computer Science, page 538-553. Springer, (2021)Generating Diverse and Competitive Play-Styles for Strategy Games, , , , , and . 2021 IEEE Conference on Games (CoG), page 1-8. (2021)Two new classes of permutation trinomials over 픽q3 with odd characteristic., , , , and . IACR Cryptol. ePrint Arch., (2022)Mildly Constrained Evaluation Policy for Offline Reinforcement Learning., , , , and . CoRR, (2023)Generating Diverse and Competitive Play-Styles for Strategy Games., , , , , and . CoG, page 1-8. IEEE, (2021)Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing., , , , and . CoG, page 1-8. IEEE, (2021)Relabeling Minimal Training Subset to Flip a Prediction., , and . EACL (Findings), page 1085-1098. Association for Computational Linguistics, (2024)