Mohammed Abdullah Alsuwaiket

NeuroSymbolic-RLNet: a neuro-symbolic reinforcement learning framework for transparent sequential decision-making

The integration of symbolic reasoning with deep reinforcement learning presents a promising paradigm for achieving transparent and interpretable sequential decision-making in complex environments. This work introduces NeuroSymbolic-RLNet, a novel hybrid framework that combines symbolic state transition graphs with neur...