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Deep Multi-Task Augmented Feature Learning via Hierarchical Graph Neural Network., , , , и . CoRR, (2020)Towards Applicable State Abstractions: a Preview in Strategy, , и . The Multi-disciplinary Conference on Reinforcement Learning and Decision Making (RLDM) - RL as a Model of Agency, стр. 1-7. (2022)A Hierarchical Approach for MARLÖ Challenge., и . CoG, стр. 1-4. IEEE, (2019)Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network., , , , и . ECML/PKDD (1), том 12975 из Lecture Notes in Computer Science, стр. 538-553. Springer, (2021)Portfolio Search and Optimization for General Strategy Game-Playing., , , , и . CEC, стр. 2085-2092. IEEE, (2021)Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing., , , , и . CoG, стр. 369-376. IEEE, (2022)Protecting Your LLMs with Information Bottleneck., , , , , , , , и . CoRR, (2024)Generating Diverse and Competitive Play-Styles for Strategy Games., , , , , и . CoG, стр. 1-8. IEEE, (2021)Generating Diverse and Competitive Play-Styles for Strategy Games, , , , , и . 2021 IEEE Conference on Games (CoG), стр. 1-8. (2021)Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing., , , , и . CoG, стр. 1-8. IEEE, (2021)