Improving Online Reinforcement Learning via Bidirectional Behavior Prior Distillation
This work shows that enforcing high-quality behavioral support during online learning effectively mitigates critic-induced error amplification, enabling structured behavior priors to guide policy updates in a principled and sample-efficient manner.