Learning Robust Rewards with Adversarial Inverse Reinforcement Learning.

Justin Fu Katie Luo Sergey Levine

Published in: CoRR (2017)

Keyphrases

inverse reinforcement learning
reinforcement learning
supervised learning
partially observable environments
learning tasks
learning algorithm
markov decision processes
bayesian nonparametric
state space
monte carlo
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