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Managing Action Preconditions in Neuro-Symbolic RL: Three Placement Strategies for Embodied Agents

Oswald, Norbert et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencemachine-learning
Humans carry behaviour knowledge of how to act in familiar situations into every new task rather than relearning it from scratch. There is no reason a Reinforcement Learning (RL) agent shouldn't do the same: known behaviour patterns need not be learned, only applied. Neuro-symbolic RL bridges prior
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