Sample-Efficient Neurosymbolic Deep Reinforcement Learning
arXiv:2601.02850v2 Announce Type: replace
Abstract: Reinforcement Learning (RL) is a well-established framework for sequential decision-making in complex environments. However, state-of-the-art Deep RL (DRL) algorithms typically require large training…