Rongjun Ye

Safe Deep Reinforcement Learning Based on Sample Value Evaluation

2022

In recent years, deep reinforcement learning has combined the advantages of reinforcement learning and deep learning, and has made great progress in decision-making tasks. However, the training of deep reinforcement learning requires frequent interactions between …