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Improving Learning for Embodied Agents in Dynamic--Environments by State Factorisation
(2004)
A new reinforcement learning algorithm designed--specifically for robots and embodied systems--is described. Conventional reinforcement learning methods intended for learning general tasks suffer from a number of disadvantages ...