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CAML: Fast Context Adaptation via Meta-Learning., , , , and . CoRR, (2018)Comparing evolutionary and temporal difference methods in a reinforcement learning domain., , and . GECCO, page 1321-1328. ACM, (2006)Multi-Agent Common Knowledge Reinforcement Learning., , , , , and . CoRR, (2018)Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios., , , , , , , , , and 2 other author(s). IROS, page 7553-7560. (2023)Learning from Demonstration in the Wild., , , , , , , , , and 1 other author(s). CoRR, (2018)Real-Time Resource Allocation for Tracking Systems., , , and . UAI, AUAI Press, (2017)Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning., , , , , and . CoRR, (2020)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., , , , , , and . ICLR, OpenReview.net, (2020)Computing Convex Coverage Sets for Multi-objective Coordination Graphs., , and . ADT, volume 8176 of Lecture Notes in Computer Science, page 309-323. Springer, (2013)