Stage-Transition Dense Reward Modeling for Reinforcement Learning

Yang Yang, Bingjie Chen, Zihan Wang +4

Reinforcement learning for long-horizon robotic manipulation is often limited by sparse and delayed rewards, while manually designing dense shaping signals is costly and brittle to…