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Deep RL and MCTS Enable Adaptive Human-Robot Interaction

In this work by collaborators Sahar Leisiazar and Mo Chen, using Monte Carlo Tree Search and deep reinforcement learning unlocks being able to adapt to a human's move(ment)s while avoiding obstacles.

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