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Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020., , , , , , , , , и 19 other автор(ы). NeurIPS (Competition and Demos), том 133 из Proceedings of Machine Learning Research, стр. 233-252. PMLR, (2020)Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems., , , и . AAMAS, стр. 1315-1323. International Foundation for Autonomous Agents and Multiagent Systems, (2019)ADI: Towards a Framework of App Developer Inspection., , , и . DASFAA (2), том 8422 из Lecture Notes in Computer Science, стр. 266-280. Springer, (2014)PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning., , , , , , и . AAAI, стр. 15934-15942. AAAI Press, (2024)From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning., , , , , , , , и . AAAI, стр. 7293-7300. AAAI Press, (2020)Effective norm emergence in cell systems under limited communication., , и . BIBM, стр. 1670-1673. IEEE Computer Society, (2017)Large Scale Deep Reinforcement Learning in War-games., , , , , и . BIBM, стр. 1693-1699. IEEE, (2020)From Few to More: Large-scale Dynamic Multiagent Curriculum Learning., , , , , , , , и . CoRR, (2019)PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration., , , , , , , , и . CoRR, (2022)Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks., , , , , , , и . ICLR, OpenReview.net, (2023)