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Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns., , , , и . IJCAI, стр. 457-463. ijcai.org, (2019)Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning., , , , , и . CoRR, (2022)Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation., , , , , , , и . CIKM, стр. 2781-2788. ACM, (2020)A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games., , , , , , , и . KDD, стр. 5303-5314. ACM, (2023)GLIB: towards automated test oracle for graphically-rich applications., , , , , и . ESEC/SIGSOFT FSE, стр. 1093-1104. ACM, (2021)Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach., , , , , , и . AAAI, стр. 4371-4378. AAAI Press, (2022)Fast and Robust Face-to-Parameter Translation for Game Character Auto-Creation., , , и . AAAI, стр. 1733-1740. AAAI Press, (2020)Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping., , , , , , , и . NeurIPS, (2020)MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration., , , , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 12600-12610. PMLR, (2021)Keep You from Leaving: Churn Prediction in Online Games., , , , , и . DASFAA (2), том 12113 из Lecture Notes in Computer Science, стр. 263-279. Springer, (2020)