Dynamic Decisions Under Uncertainty
Dynamic Decisions Under Uncertainty The Effect of Delayed Feedback for Reinforcement Learning with Function Approximation Recent studies in reinforcement learning (RL) have made significant progress by leveraging function approximation to alleviate the sample complexity hurdle for better performance. Despite the success, existing provably efficient algorithms typically rely on the accessibility of immediate feedback upon taking […]