Lifelong Incremental Reinforcement Learning with Online Bayesian Inference
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DOI: 10.1109/tnnls.2021.3055499
Abstract: A central capability of a long-lived reinforcement learning (RL) agent is to incrementally adapt its behavior as its environment changes and to incrementally build upon previous experiences to facilitate future learning in real-world scenarios. In… read more here.
Keywords: online bayesian; reinforcement learning; incremental reinforcement; environment ... See more keywords