Skill Learning in Robots using Deep RL with Latent Variables
Recent contributions to the field of Reinforcement Learning (RL) have been concerned with the learning of skills, diverse behaviors of the agent that can be chosen by setting the values of latent variables which the policy is conditioned on. While some approaches omit the task reward during training, making it simply learn diverse behaviors, other…