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10/07/2022
Knowledge-Grounded Reinforcement Learning
Receiving knowledge, abiding by laws, and being aware of regulations are...
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07/13/2019
Motion Planning Networks: Bridging the Gap Between Learning-based and Classical Motion Planners
This paper describes Motion Planning Networks (MPNet), a computationally...
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09/17/2018
Adversarial Imitation via Variational Inverse Reinforcement Learning
We consider a problem of learning a reward and policy from expert exampl...
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06/14/2018
