Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
international conference on learning representations, 2018.
Deep reinforcement learning algorithms can learn complex behavioral skills, but real-world application of these methods requires a considerable amount of experience to be collected by the agent. In practical settings, such as robotics, this involves repeatedly attempting a task, resetting the environment between each attempt. However, not...More
PPT (Upload PPT)