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Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks.

, , , , , , , , и . IEEE Robotics Autom. Lett., 5 (2): 3612-3619 (2020)

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Marc Levine

Martin Levine

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Glenn S Levine

Sergey Libert

 

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Learning Human Objectives by Evaluating Hypothetical Behavior., , , , и . CoRR, (2019)End-to-End Robotic Reinforcement Learning without Reward Engineering., , , , и . CoRR, (2019)Simple and Effective VAE Training with Calibrated Decoders, , и . (2020)cite arxiv:2006.13202Comment: International Conference on Machine Learning (ICML), 2021. Project website is at https://orybkin.github.io/sigma-vae/.Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings., , , , , и . ICML, том 80 из Proceedings of Machine Learning Research, стр. 1008-1017. PMLR, (2018)Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning., , , , и . ICLR (Poster), OpenReview.net, (2017)Optimism-driven exploration for nonlinear systems., , , и . ICRA, стр. 3239-3246. IEEE, (2015)Contextual Imagined Goals for Self-Supervised Robotic Learning., , , , , и . CoRL, том 100 из Proceedings of Machine Learning Research, стр. 530-539. PMLR, (2019)Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems, , , и . (2020)cite arxiv:2005.01643.Watch, Try, Learn: Meta-Learning from Demonstrations and Rewards., , , , , , , , , и . ICLR, OpenReview.net, (2020)EMI: Exploration with Mutual Information Maximizing State and Action Embeddings., , , , и . CoRR, (2018)