Memory-efficient Reinforcement Learning with Value-based Knowledge Consolidation

Qingfeng Lan, Yangchen Pan, Jun Luo +1

Artificial neural networks are promising for general function approximation but challenging to train on non-independent or non-identically distributed data due to catastrophic forg…