Multi-task Maximum Entropy Inverse Reinforcement Learning

22 May 2018 Adam Gleave Oliver Habryka

Multi-task Inverse Reinforcement Learning (IRL) is the problem of inferring multiple reward functions from expert demonstrations. Prior work, built on Bayesian IRL, is unable to scale to complex environments due to computational constraints... (read more)

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