Vitchyr Pong

According to our database, Vitchyr Pong authored at least 13 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Offline Meta-Reinforcement Learning with Online Self-Supervision.

Vitchyr H. Pong, Ashvin Nair, Laura M. Smith, Catherine Huang, Sergey Levine

Proceedings of the International Conference on Machine Learning, 2022

2021

Outcome-Driven Reinforcement Learning via Variational Inference.

Tim G. J. Rudner, Vitchyr Pong, Rowan McAllister, Yarin Gal, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies.

Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning.

Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H. Pong, Aurick Zhou, Justin Yu, Sergey Levine

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning.

Vitchyr Pong, Murtaza Dalal, Steven Lin, Ashvin Nair, Shikhar Bahl, Sergey Levine

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning.

Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman

CoRR, 2019

Planning with Goal-Conditioned Policies.

Soroush Nasiriany, Vitchyr Pong, Steven Lin, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Contextual Imagined Goals for Self-Supervised Robotic Learning.

Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Visual Reinforcement Learning with Imagined Goals.

Ashvin Nair, Vitchyr Pong, Murtaza Dalal, Shikhar Bahl, Steven Lin, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Composable Deep Reinforcement Learning for Robotic Manipulation.

Tuomas Haarnoja, Vitchyr Pong, Aurick Zhou, Murtaza Dalal, Pieter Abbeel, Sergey Levine

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Temporal Difference Models: Model-Free Deep RL for Model-Based Control.

Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Uncertainty-Aware Reinforcement Learning for Collision Avoidance.

Gregory Kahn, Adam Villaflor, Vitchyr Pong, Pieter Abbeel, Sergey Levine

CoRR, 2017

2016

Reactive high-level behavior synthesis for an Atlas humanoid robot.

Spyros Maniatopoulos, Philipp Schillinger, Vitchyr Pong, David C. Conner, Hadas Kress-Gazit

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016