Home /Research /Reinforcement Learning endowed with safe veto policies to learn the control of Linked-Multicomponent Robotic Systems
LEARNING

Reinforcement Learning endowed with safe veto policies to learn the control of Linked-Multicomponent Robotic Systems

Borja Fernandez‐Gauna, Manuel Graña, José Manuel López-Guede, Ismael Etxeberria‐Agiriano, Igor Ansoategui

Year
2015
Citations
13

Keywords

Reinforcement learningComputer scienceState spaceProcess (computing)State (computer science)Modular designConvergence (economics)Artificial intelligenceControl (management)Task (project management)

Related papers

Browse all LEARNING papers