Regularized approximate policy iteration using kernel for on-line reinforcement learning 

Esposito, Gennaro (Date of defense: 2015-06-17)

By using Reinforcement Learning (RL), an autonomous agent interacting with the environment can learn how to take adequate actions for every situation in order to optimally achieve its own goal. RL provides a general ...