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Xue Bin Peng
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Sim-to-real transfer of robotic control with dynamics randomization
XB Peng, M Andrychowicz, W Zaremba, P Abbeel
2018 IEEE international conference on robotics and automation (ICRA), 3803-3810, 2018
9812018
Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
XB Peng, P Abbeel, S Levine, M Van de Panne
ACM Transactions On Graphics (TOG) 37 (4), 1-14, 2018
6772018
Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
XB Peng, G Berseth, KK Yin, M Van De Panne
ACM Transactions on Graphics (TOG) 36 (4), 1-13, 2017
5212017
Terrain-adaptive locomotion skills using deep reinforcement learning
XB Peng, G Berseth, M Van de Panne
ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016
2852016
Learning agile robotic locomotion skills by imitating animals
XB Peng, E Coumans, T Zhang, TW Lee, J Tan, S Levine
arXiv preprint arXiv:2004.00784, 2020
2252020
Sfv: Reinforcement learning of physical skills from videos
XB Peng, A Kanazawa, J Malik, P Abbeel, S Levine
ACM Transactions On Graphics (TOG) 37 (6), 1-14, 2018
1752018
Advantage-weighted regression: Simple and scalable off-policy reinforcement learning
XB Peng, A Kumar, G Zhang, S Levine
arXiv preprint arXiv:1910.00177, 2019
1662019
Variational discriminator bottleneck: Improving imitation learning, inverse rl, and gans by constraining information flow
XB Peng, A Kanazawa, S Toyer, P Abbeel, S Levine
arXiv preprint arXiv:1810.00821, 2018
1652018
Mcp: Learning composable hierarchical control with multiplicative compositional policies
XB Peng, M Chang, G Zhang, P Abbeel, S Levine
Advances in Neural Information Processing Systems 32, 2019
1322019
Learning locomotion skills using deeprl: Does the choice of action space matter?
XB Peng, M van de Panne
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation …, 2017
1312017
Dynamic terrain traversal skills using reinforcement learning
XB Peng, G Berseth, M Van de Panne
ACM Transactions on Graphics (TOG) 34 (4), 1-11, 2015
822015
Reinforcement learning for robust parameterized locomotion control of bipedal robots
Z Li, X Cheng, XB Peng, P Abbeel, S Levine, G Berseth, K Sreenath
2021 IEEE International Conference on Robotics and Automation (ICRA), 2811-2817, 2021
652021
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
XB Peng, Z Ma, P Abbeel, S Levine, A Kanazawa
ACM Transactions on Graphics (TOG) 40 (4), 1-20, 2021
622021
Offline meta-reinforcement learning with advantage weighting
E Mitchell, R Rafailov, XB Peng, S Levine, C Finn
International Conference on Machine Learning, 7780-7791, 2021
352021
Deep reinforcement learning for modeling human locomotion control in neuromechanical simulation
S Song, Ł Kidziński, XB Peng, C Ong, J Hicks, S Levine, CG Atkeson, ...
Journal of neuroengineering and rehabilitation 18 (1), 1-17, 2021
332021
Reward-conditioned policies
A Kumar, XB Peng, S Levine
arXiv preprint arXiv:1912.13465, 2019
332019
On learning symmetric locomotion
F Abdolhosseini, HY Ling, Z Xie, XB Peng, M Van de Panne
Motion, Interaction and Games, 1-10, 2019
312019
Reinforcement learning with competitive ensembles of information-constrained primitives
A Goyal, S Sodhani, J Binas, XB Peng, S Levine, Y Bengio
arXiv preprint arXiv:1906.10667, 2019
282019
Legged robots that keep on learning: Fine-tuning locomotion policies in the real world
L Smith, JC Kew, XB Peng, S Ha, J Tan, S Levine
2022 International Conference on Robotics and Automation (ICRA), 1593-1599, 2022
152022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery
M Laskin, H Liu, XB Peng, D Yarats, A Rajeswaran, P Abbeel
arXiv preprint arXiv:2202.00161, 2022
132022
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