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Learning potential functions and their representations for multi-task reinforcement learning., and . Auton. Agents Multi Agent Syst., 28 (4): 637-681 (2014)VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning., , , , , , и . ICLR, OpenReview.net, (2020)Learning from Demonstration in the Wild., , , , , , , , , и 1 other автор(ы). CoRR, (2018)Real-Time Resource Allocation for Tracking Systems., , , и . UAI, AUAI Press, (2017)Alternating Optimisation and Quadrature for Robust Control., , , , , и . AAAI, стр. 3925-3933. AAAI Press, (2018)Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula., , , , , , и . CoRL, том 205 из Proceedings of Machine Learning Research, стр. 188-198. PMLR, (2022)Balancing Exploration and Exploitation in Learning to Rank Online., , и . ECIR, том 6611 из Lecture Notes in Computer Science, стр. 251-263. Springer, (2011)Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver?, , , и . NeurIPS, (2020)Dynamic-Depth Context Tree Weighting., и . NIPS, стр. 3328-3337. (2017)Critical factors in the performance of hyperNEAT., и . GECCO, стр. 759-766. ACM, (2013)