Ordinal Inverse Reinforcement Learning Applied to Robot Learning with Small Data
Adrià Colomé,Carme Torras,Adrià Colomé,Carme Torras
Over the last decade, the ability to teach actions to robots in a user-friendly way has gained relevance, and a practical way of teaching robots a new task is to use Inverse Reinforcement Learning (IRL). In IRL, an expert teacher shows the robot a desired behaviour and an agent builds a model of the reward. The agent can also infer a policy that performs in an optimal way within the limitations of...
