INSIGHT: End-to-End Neuro-Symbolic Visual Reinforcement Learning with
Language Explanations
INSIGHT: End-to-End Neuro-Symbolic Visual Reinforcement Learning with
Language Explanations
Neuro-symbolic reinforcement learning (NS-RL) has emerged as a promising paradigm for explainable decision-making, characterized by the interpretability of symbolic policies. For tasks with visual observations, NS-RL entails structured representations for states, but previous algorithms are unable to refine the structured states with reward signals due to a lack of efficiency. …