Reinforcement Learning Repository at MSU

Topics: Applications to Robotics

Reinforcement learning is well suited to training mobile robots, in particular teaching a robot a new behavior (e.g. avoid obstacles) from scalar feedback. Robotics is a very challenging domain for reinforcement learning, however, since robots cannot perceive the underlying state of their environment (thus causing the hidden state problem), and because training time is usually quite limited.