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ORCIDThanard Kurutach
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2020 – today
- 2021
[c9]Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao:
Mastering Atari Games with Limited Data. NeurIPS 2021: 25476-25488- [i10]Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao:
Mastering Atari Games with Limited Data. CoRR abs/2111.00210 (2021) - 2020
- [c8]Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar:
Hallucinative Topological Memory for Zero-Shot Visual Planning. ICML 2020: 6259-6270 - [c7]Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak:
Sparse Graphical Memory for Robust Planning. NeurIPS 2020 - [c6]Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. NeurIPS 2020 - [c5]Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel:
Learning to Manipulate Deformable Objects without Demonstrations. Robotics: Science and Systems 2020 - [i9]Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar:
Hallucinative Topological Memory for Zero-Shot Visual Planning. CoRR abs/2002.12336 (2020) - [i8]Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak:
Sparse Graphical Memory for Robust Planning. CoRR abs/2003.06417 (2020) - [i7]Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel:
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR abs/2010.13303 (2020)
2010 – 2019
- 2019
- [c4]Angelina Wang, Thanard Kurutach, Pieter Abbeel, Aviv Tamar:
Learning Robotic Manipulation through Visual Planning and Acting. Robotics: Science and Systems 2019 - [i6]Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar:
Learning Robotic Manipulation through Visual Planning and Acting. CoRR abs/1905.04411 (2019) - [i5]Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel:
Learning to Manipulate Deformable Objects without Demonstrations. CoRR abs/1910.13439 (2019) - [i4]Tal Daniel, Thanard Kurutach, Aviv Tamar:
Deep Variational Semi-Supervised Novelty Detection. CoRR abs/1911.04971 (2019) - 2018
- [c3]Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel:
Model-Ensemble Trust-Region Policy Optimization. ICLR (Poster) 2018 - [c2]Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel:
Learning Plannable Representations with Causal InfoGAN. NeurIPS 2018: 8747-8758 - [i3]Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel:
Model-Ensemble Trust-Region Policy Optimization. CoRR abs/1802.10592 (2018) - [i2]Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel:
Learning Plannable Representations with Causal InfoGAN. CoRR abs/1807.09341 (2018) - 2016
- [c1]Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling:
Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. IJCAI 2016: 3513-3521 - 2015
- [i1]Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez:
Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures. CoRR abs/1512.00573 (2015)
Coauthor Index
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