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ORCIDVitchyr Pong
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Conference and Workshop Papers
- 2022
[c11]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. ICML 2022: 17811-17829- 2021
- [c10]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H. Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. ICML 2021: 6346-6356 - [c9]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. ICRA 2021: 6635-6641 - [c8]Tim G. J. Rudner, Vitchyr Pong, Rowan McAllister, Yarin Gal, Sergey Levine:
Outcome-Driven Reinforcement Learning via Variational Inference. NeurIPS 2021: 13045-13058 - 2020
- [c7]Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine:
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. ICML 2020: 7783-7792 - 2019
- [c6]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRL 2019: 530-539 - [c5]Soroush Nasiriany, Vitchyr Pong, Steven Lin, Sergey Levine:
Planning with Goal-Conditioned Policies. NeurIPS 2019: 14814-14825 - 2018
- [c4]Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine:
Temporal Difference Models: Model-Free Deep RL for Model-Based Control. ICLR (Poster) 2018 - [c3]Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine:
Composable Deep Reinforcement Learning for Robotic Manipulation. ICRA 2018: 6244-6251 - [c2]Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine:
Visual Reinforcement Learning with Imagined Goals. NeurIPS 2018: 9209-9220 - 2016
- [c1]Spyros Maniatopoulos, Philipp Schillinger, Vitchyr Pong, David C. Conner, Hadas Kress-Gazit:
Reactive high-level behavior synthesis for an Atlas humanoid robot. ICRA 2016: 4192-4199
Informal and Other Publications
- 2021
- [i12]Tim G. J. Rudner
, Vitchyr H. Pong, Rowan McAllister, Yarin Gal, Sergey Levine:
Outcome-Driven Reinforcement Learning via Variational Inference. CoRR abs/2104.10190 (2021) - [i11]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. CoRR abs/2104.11707 (2021) - [i10]Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine:
Offline Meta-Reinforcement Learning with Online Self-Supervision. CoRR abs/2107.03974 (2021) - [i9]Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr Pong, Aurick Zhou, Justin Yu, Sergey Levine:
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning. CoRR abs/2107.07184 (2021) - 2019
- [i8]Vitchyr H. Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine:
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning. CoRR abs/1903.03698 (2019) - [i7]Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman:
REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning. CoRR abs/1905.07447 (2019) - [i6]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRR abs/1910.11670 (2019) - [i5]Soroush Nasiriany, Vitchyr H. Pong, Steven Lin, Sergey Levine:
Planning with Goal-Conditioned Policies. CoRR abs/1911.08453 (2019) - 2018
- [i4]Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine:
Temporal Difference Models: Model-Free Deep RL for Model-Based Control. CoRR abs/1802.09081 (2018) - [i3]Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine:
Composable Deep Reinforcement Learning for Robotic Manipulation. CoRR abs/1803.06773 (2018) - [i2]Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine:
Visual Reinforcement Learning with Imagined Goals. CoRR abs/1807.04742 (2018) - 2017
- [i1]Gregory Kahn, Adam Villaflor, Vitchyr Pong, Pieter Abbeel, Sergey Levine:
Uncertainty-Aware Reinforcement Learning for Collision Avoidance. CoRR abs/1702.01182 (2017)
Coauthor Index
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