Decision Making

In 2005 we started to work on the application of Reinforcement Learning to real robots. About a decade later we extended that research to the decision making process in general (not necessarily involving learning). All in all, we have studied RL in diverse contexts within robotics: robot task planning, onboard computer efficiency, robot reflex learning, robot control architectures, networked telerobots and engineering education, among others.

We have the following publications on this matter:

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