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[PDF] Active Reward Learning - Robotics

Instead, we propose to learn the reward function through active learning, querying human expert knowledge for a subset of the agent's rollouts. We introduce a ...

www.roboticsproceedings.org·5.5 MB
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[PDF] Model-based Reinforcement Learning: A Survey

In high-dimensional problems, most successful attempts are based on neural network approximation (deep generative models). One ap- proach is to use variational ...

liacs.leidenuniv.nl·1.7 MB

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