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On Multi-Agent Learning in Team Sports Games

, , , , and . (2019)cite arxiv:1906.10124Comment: Presented at ICML 2019 Workshop on Imitation, Intent, and Interaction (I3). arXiv admin note: substantial text overlap with arXiv:1903.10545.

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Domain Engineering for Applied Monocular Reconstruction of Parametric Faces., , , , and . CoRR, (2022)Hierarchical Cooperative Multi-Agent Reinforcement Learning with Skill Discovery., , and . CoRR, (2019)On Multi-Agent Learning in Team Sports Games, , , , and . (2019)cite arxiv:1906.10124Comment: Presented at ICML 2019 Workshop on Imitation, Intent, and Interaction (I3). arXiv admin note: substantial text overlap with arXiv:1903.10545.Inverse Lighting with Differentiable Physically-Based Model., , , and . LION, volume 14286 of Lecture Notes in Computer Science, page 286-300. Springer, (2023)From Demonstrations and Knowledge Engineering to a DNN Agent in a Modern Open-World Video Game., and . AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, volume 2350 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Multi-theme generative adversarial terrain amplification., , , , , and . ACM Trans. Graph., 38 (6): 200:1-200:14 (2019)Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI., , , , , , , , , and 6 other author(s). CoRR, (2019)Winning Is Not Everything: Enhancing Game Development With Intelligent Agents., , , , , , , , , and 7 other author(s). IEEE Trans. Games, 12 (2): 199-212 (2020)Exploring Gameplay With AI Agents., , , , and . AIIDE, page 159-165. AAAI Press, (2018)Practical Parametric Synthesis of Realistic Pseudo-Random Face Shapes., , and . FG, page 1-7. IEEE, (2023)