DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback

Riku Arakawa, Sosuke Kobayashi, Yuya Unno +2

Exploration has been one of the greatest challenges in reinforcement learning (RL), which is a large obstacle in the application of RL to robotics. Even with state-of-the-art RL al…