Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations

Cevahir Koprulu, Po-han Li, Tianyu Qiu +5

Many continuous control problems can be formulated as sparse-reward reinforcement learning (RL) tasks. In principle, online RL methods can automatically explore the state space to…