Vitchyr H. Pong
Title
Cited by
Cited by
Year
Visual reinforcement learning with imagined goals
A Nair, V Pong, M Dalal, S Bahl, S Lin, S Levine
arXiv preprint arXiv:1807.04742, 2018
2222018
Uncertainty-aware reinforcement learning for collision avoidance
G Kahn, A Villaflor, V Pong, P Abbeel, S Levine
arXiv preprint arXiv:1702.01182, 2017
1892017
Temporal difference models: Model-free deep rl for model-based control
V Pong, S Gu, M Dalal, S Levine
arXiv preprint arXiv:1802.09081, 2018
1462018
Composable deep reinforcement learning for robotic manipulation
T Haarnoja, V Pong, A Zhou, M Dalal, P Abbeel, S Levine
2018 IEEE international conference on robotics and automation (ICRA), 6244-6251, 2018
1232018
Skew-fit: State-covering self-supervised reinforcement learning
VH Pong, M Dalal, S Lin, A Nair, S Bahl, S Levine
arXiv preprint arXiv:1903.03698, 2019
932019
Planning with goal-conditioned policies
S Nasiriany, VH Pong, S Lin, S Levine
arXiv preprint arXiv:1911.08453, 2019
402019
Reactive high-level behavior synthesis for an atlas humanoid robot
S Maniatopoulos, P Schillinger, V Pong, DC Conner, H Kress-Gazit
2016 IEEE International Conference on Robotics and Automation (ICRA), 4192-4199, 2016
382016
Contextual imagined goals for self-supervised robotic learning
A Nair, S Bahl, A Khazatsky, V Pong, G Berseth, S Levine
Conference on Robot Learning, 530-539, 2020
292020
Replab: A reproducible low-cost arm benchmark platform for robotic learning
B Yang, J Zhang, V Pong, S Levine, D Jayaraman
arXiv preprint arXiv:1905.07447, 2019
142019
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
S Nasiriany
Master’s thesis, EECS Department, University of California, Berkeley, 2020
32020
Two evolving social network models
SR Magura, VH Pong, D Sivakoff, R Durrett
22013
Reinforcement Learning with Bayesian Classifiers: Efficient Skill Learning from Outcome Examples
K Li, A Gupta, VH Pong, A Reddy, A Zhou, J Yu, S Levine
12020
Offline Meta-Reinforcement Learning with Online Self-Supervision
VH Pong, A Nair, L Smith, C Huang, S Levine
arXiv preprint arXiv:2107.03974, 2021
2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning
K Li, A Gupta, A Reddy, VH Pong, A Zhou, J Yu, S Levine
International Conference on Machine Learning, 6346-6356, 2021
2021
Outcome-Driven Reinforcement Learning via Variational Inference
TGJ Rudner, VH Pong, R McAllister, Y Gal, S Levine
arXiv preprint arXiv:2104.10190, 2021
2021
最新无模型深度强化学习研究: 从零开始训练机器人 “玩乐高”
T Haarnoja, V Pong, A Zhou, M Dalal, P Abbeel, S Levine
机器人产业, 2018
2018
TDM: From model-free to model-based deep reinforcement learning
V Pong
Stochastic Boundary Value Reinforcement Learning via Variational Inference
TGJ Rudner, VH Pong, R McAllister, Y Gal, S Levine
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