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Oleg O. Sushkov | Stefan Schaal | Wenzhao Lian | Jianlan Luo | Mel Vecerik | Rugile Pevceviciute | Jon Scholz | Oleg Sushkov | Chang Su | Ning Ye | S. Schaal | Jianlan Luo | Wenzhao Lian | Jonathan Scholz | Mel Vecerík | Rugile Pevceviciute | Chang Su | Ning Ye
[1] Alice M. Agogino,et al. Reinforcement Learning on Variable Impedance Controller for High-Precision Robotic Assembly , 2019, 2019 International Conference on Robotics and Automation (ICRA).
[2] Oleg O. Sushkov,et al. A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[3] Sergey Levine,et al. Residual Reinforcement Learning for Robot Control , 2018, 2019 International Conference on Robotics and Automation (ICRA).
[4] Sergey Levine,et al. Meta-Reinforcement Learning for Robotic Industrial Insertion Tasks , 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[5] Oleg O. Sushkov,et al. Scaling data-driven robotics with reward sketching and batch reinforcement learning , 2019, Robotics: Science and Systems.
[6] Doina Precup,et al. Off-Policy Deep Reinforcement Learning without Exploration , 2018, ICML.
[7] Alice M. Agogino,et al. Deep Reinforcement Learning for Robotic Assembly of Mixed Deformable and Rigid Objects , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[8] S. Levine,et al. Conservative Q-Learning for Offline Reinforcement Learning , 2020, NeurIPS.
[9] Tom Schaul,et al. Deep Q-learning From Demonstrations , 2017, AAAI.
[10] Gabriel Dulac-Arnold,et al. Challenges of Real-World Reinforcement Learning , 2019, ArXiv.
[11] Satinder Singh,et al. Self-Imitation Learning , 2018, ICML.
[12] S. Levine,et al. Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems , 2020, ArXiv.
[13] Geoffrey J. Gordon,et al. A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning , 2010, AISTATS.
[14] Marcin Andrychowicz,et al. Overcoming Exploration in Reinforcement Learning with Demonstrations , 2017, 2018 IEEE International Conference on Robotics and Automation (ICRA).
[15] Yu Sun,et al. Benchmarking Protocols for Evaluating Small Parts Robotic Assembly Systems , 2020, IEEE Robotics and Automation Letters.
[16] Giovanni De Magistris,et al. Deep reinforcement learning for high precision assembly tasks , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[17] Marcin Andrychowicz,et al. Hindsight Experience Replay , 2017, NIPS.
[18] S. Levine,et al. Accelerating Online Reinforcement Learning with Offline Datasets , 2020, ArXiv.
[19] David Budden,et al. Distributed Prioritized Experience Replay , 2018, ICLR.
[20] Sergey Levine,et al. DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction , 2020, NeurIPS.
[21] Nando de Freitas,et al. Reinforcement and Imitation Learning for Diverse Visuomotor Skills , 2018, Robotics: Science and Systems.
[22] Martin A. Riedmiller,et al. Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards , 2017, ArXiv.
[23] Sergey Levine,et al. COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning , 2020, ArXiv.
[24] Sergey Levine,et al. Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations , 2017, Robotics: Science and Systems.