A Coding Implementation to Train Safety-Critical Reinforcement Learning Agents Offline Using Conservative Q-Learning with d3rlpy and Fixed Historical Data

Tutorial on offline reinforcement learning for safety-critical systems using fixed historical data. Demonstrates behavior cloning and Conservative Q-Learning with d3rlpy framework, eliminating need for live exploration in high-risk environments.