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Thanard Kurutach
Thanard Kurutach
Research Scientist, Cruise llc
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Model-ensemble trust-region policy optimization
T Kurutach, I Clavera, Y Duan, A Tamar, P Abbeel
arXiv preprint arXiv:1802.10592, 2018
3802018
Learning plannable representations with causal infogan
T Kurutach, A Tamar, G Yang, SJ Russell, P Abbeel
Advances in Neural Information Processing Systems 31, 2018
1582018
Learning to manipulate deformable objects without demonstrations
Y Wu, W Yan, T Kurutach, L Pinto, P Abbeel
arXiv preprint arXiv:1910.13439, 2019
1152019
Learning robotic manipulation through visual planning and acting
A Wang, T Kurutach, K Liu, P Abbeel, A Tamar
arXiv preprint arXiv:1905.04411, 2019
832019
Mastering atari games with limited data
W Ye, S Liu, T Kurutach, P Abbeel, Y Gao
Advances in Neural Information Processing Systems 34, 25476-25488, 2021
442021
Sparse graphical memory for robust planning
S Emmons, A Jain, M Laskin, T Kurutach, P Abbeel, D Pathak
Advances in Neural Information Processing Systems 33, 5251-5262, 2020
342020
Hallucinative topological memory for zero-shot visual planning
K Liu, T Kurutach, C Tung, P Abbeel, A Tamar
International Conference on Machine Learning, 6259-6270, 2020
312020
Trajectory-wise multiple choice learning for dynamics generalization in reinforcement learning
Y Seo, K Lee, I Clavera Gilaberte, T Kurutach, J Shin, P Abbeel
Advances in Neural Information Processing Systems 33, 12968-12979, 2020
212020
Deep variational semi-supervised novelty detection
T Daniel, T Kurutach, A Tamar
arXiv preprint arXiv:1911.04971, 2019
202019
Object-based world modeling in semi-static environments with dependent Dirichlet-process mixtures
LLS Wong, T Kurutach, LP Kaelbling, T Lozano-Pérez
arXiv preprint arXiv:1512.00573, 2015
62015
Discrete Predictive Representation for Long-Horizon Planning
T Kurutach, J Peng, Y Gao, S Russell, P Abbeel
12021
Learning, Planning, and Acting with Models
T Kurutach
University of California, Berkeley, 2021
2021
Object-based world modeling in semi-static environments with dependent dirichlet process mixtures
LP Kaelbling, T Lozano-Pérez, T Kurutach
2016
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Articles 1–13