Xue Bin Peng
Titolo
Citata da
Citata da
Anno
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
6132018
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
4382018
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
4142017
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
2352016
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
1152018
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
1142018
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
892020
Advantage-weighted regression: Simple and scalable off-policy reinforcement learning
XB Peng, A Kumar, G Zhang, S Levine
arXiv preprint arXiv:1910.00177, 2019
792019
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
772017
Mcp: Learning composable hierarchical control with multiplicative compositional policies
XB Peng, M Chang, G Zhang, P Abbeel, S Levine
arXiv preprint arXiv:1905.09808, 2019
692019
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
622015
On learning symmetric locomotion
F Abdolhosseini, HY Ling, Z Xie, XB Peng, M van de Panne
Motion, Interaction and Games, 1-10, 2019
152019
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
132019
AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control
XB Peng, Z Ma, P Abbeel, S Levine, A Kanazawa
arXiv preprint arXiv:2104.02180, 2021
52021
Reward-conditioned policies
A Kumar, XB Peng, S Levine
arXiv preprint arXiv:1912.13465, 2019
52019
Terrain rl simulator
G Berseth, XB Peng, M van de Panne
arXiv preprint arXiv:1804.06424, 2018
52018
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
42021
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
Z Li, X Cheng, XB Peng, P Abbeel, S Levine, G Berseth, K Sreenath
arXiv preprint arXiv:2103.14295, 2021
42021
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
32021
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
arXiv preprint arXiv:2110.05457, 2021
2021
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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