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Teaching on a budget: agents advising agents in reinforcement learning.

, and . AAMAS, page 1053-1060. IFAAMAS, (2013)

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Transfer via inter-task mappings in policy search reinforcement learning., , and . AAMAS, page 37. IFAAMAS, (2007)Lifelong learning for disturbance rejection on mobile robots., , , , , , and . IROS, page 3993-3998. IEEE, (2016)Sequential Association Rule Mining for Autonomously Extracting Hierarchical Task Structures in Reinforcement Learning., , and . IEEE Access, (2020)An exploration strategy for non-stationary opponents., , , , and . Auton. Agents Multi Agent Syst., 31 (5): 971-1002 (2017)A survey and critique of multiagent deep reinforcement learning., , and . Auton. Agents Multi Agent Syst., 33 (6): 750-797 (2019)An Exploration Strategy Facing Non-Stationary Agents., , , , and . AAMAS, page 922-923. ACM, (2017)Speeding up Tabular Reinforcement Learning Using State-Action Similarities., , and . AAMAS, page 1722-1724. ACM, (2017)Multi-objectivization of reinforcement learning problems by reward shaping., , , , , and . IJCNN, page 2315-2322. IEEE, (2014)Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning., and . CoRR, (2017)Is multiagent deep reinforcement learning the answer or the question? A brief survey., , and . CoRR, (2018)