Training an Interactive Humanoid Robot Using Multimodal Deep Reinforcement Learning

Training robots to perceive, act and communicate using multiple modalities still represents a challenging problem, particularly if robots are expected to learn efficiently from small sets of example interactions. We describe a learning approach as a step in this direction, where we teach a humanoid robot how to play the game of noughts and crosses... (read more)

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