Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception

9 Jan 2017Kory W. MathewsonPatrick M. Pilarski

This paper extends recent work in interactive machine learning (IML) focused on effectively incorporating human feedback. We show how control and feedback signals complement each other in systems which model human reward... (read more)

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