Sergio A. Serrano

Inter-Task Similarity for Lifelong Reinforcement Learning in Heterogeneous Tasks

Reinforcement learning (RL) is a learning paradigm in which an agent interacts with the environment it inhabits to learn in a trial-and-error way. By letting the agent acquire knowledge from its own experience, RL has been successfully applied to complex domains such as robotics. However, for non-tr…