Safe Offline Reinforcement Learning with Real-Time Budget Constraints

Qian Lin, Bo Tang, Zifan Wu +5

Aiming at promoting the safe real-world deployment of Reinforcement Learning (RL), research on safe RL has made significant progress in recent years. However, most existing works i…