A Comparative Study of Reinforcement Learning Mechanisms for Robot Online Adaptation under Progressive Damage

Visual representation of the application of a 7-sensor epsilon-greedy mechanism to avoid obstacles with Thymio. The first video recording was taken with all working sensors. Afterwards, we manually deactivated one of the sensors to simulate a damaged state of the Thymio and recorded its recovery from epochs 5 to 250.