Thanard Kurutach

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 18

Top Topics

Multiple Choice

Reinforcement Learning

Nonparametric Bayesian

Deformable Objects

Top Venues

Robotics: Science and Systems

Publications

Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
Mastering Atari Games with Limited Data. CoRR (2021)
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
Mastering Atari Games with Limited Data. NeurIPS (2021)
Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel
Learning to Manipulate Deformable Objects without Demonstrations. Robotics: Science and Systems (2020)
Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR (2020)
Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. NeurIPS (2020)
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)
Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar
Hallucinative Topological Memory for Zero-Shot Visual Planning. CoRR (2020)
Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar
Hallucinative Topological Memory for Zero-Shot Visual Planning. ICML (2020)
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
Sparse Graphical Memory for Robust Planning. CoRR (2020)
Angelina Wang, Thanard Kurutach, Pieter Abbeel, Aviv Tamar
Learning Robotic Manipulation through Visual Planning and Acting. Robotics: Science and Systems (2019)
Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar
Learning Robotic Manipulation through Visual Planning and Acting. CoRR (2019)
Tal Daniel, Thanard Kurutach, Aviv Tamar
Deep Variational Semi-Supervised Novelty Detection. CoRR (2019)
Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel
Learning to Manipulate Deformable Objects without Demonstrations. CoRR (2019)
Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
Model-Ensemble Trust-Region Policy Optimization. ICLR (Poster) (2018)
Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
Model-Ensemble Trust-Region Policy Optimization. CoRR (2018)
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel
Learning Plannable Representations with Causal InfoGAN. NeurIPS (2018)
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel
Learning Plannable Representations with Causal InfoGAN. CoRR (2018)
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)
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 (2015)