Beyond the Black Box: Neuro-Symbolic Integration for Interpretable Video-Based Reinforcement Learning
A cognitively inspired neuro-symbolic framework for extracting interpretable world models from raw video streams in dynamic 2D environments and proposes a domain-agnostic agent that develops complex behaviors driven by a composite intrinsic reward based on causal impact and event-driven curiosity.