Rongchun Li

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies

As the demands for superior agents grow, the training complexity of Deep Reinforcement Learning (DRL) becomes higher. Thus, accelerating training of DRL has become a major research focus. Dividing the DRL training process into sub-tasks and using parallel computation can effectively reduce training…