Guillermo González-Mora

A Reinforcement Learning Method for Continuous Domains Using Artificial Hydrocarbon Networks

2018

Reinforcement learning in continuous states and actions has been limitedly studied in ocassions given difficulties in the determination of the transition function, lack of performance in continuous-to-discrete relaxation problems, among others. For instance, real-world problems, …