Tao Zhang

Reward Shaping based on Trajectory Quality for offline and hybrid reinforcement learning

Current offline reinforcement learning algorithms typically apply equal learning strength to samples of different quality during training, which can limit the effective utilization of high-quality trajectories. To solve this problem, we propose Reward Shaping based on Trajectory Quality (RSTQ). RSTQ increases the rewar...