A2I

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Mutual Alignment Transfer Learning from Simulation to the Real World

Abstract - Training robots for operation in the real world is a complex, time consuming and potentially expensive task. Despite significant success of reinforcement learning in games and simulations, research in real robot applications has not been able to match similar progress. While sample complexity can be reduced by training policies in simulation, these can [...]

Mutual Alignment Transfer Learning from Simulation to the Real World2017-09-18T22:35:47+00:00