Artificial Development by Reinforcement Learning Can Benefit From Multiple Motivations.

FRONTIERS IN ROBOTICS AND AI(2019)

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摘要
Research on artificial development, reinforcement learning, and intrinsic motivations like curiosity could profit from the recently developed framework of multi-objective reinforcement learning. The combination of these ideas may lead to more realistic artificial models for life-long learning and goal directed behavior in animals and humans.
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关键词
reinforcement learning,multi-objective,actor-critic design,artificial curiosity,artificial cognition,intrinsic motivation
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