Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. - Lawson L. S. Wong; Thanard Kurutach; Tomás Lozano-Pérez; Leslie Pack Kaelbling (IJCAI, 2016)

Model-Ensemble Trust-Region Policy Optimization. - Thanard Kurutach; Ignasi Clavera; Yan Duan; Aviv Tamar; Pieter Abbeel (ICLR (Poster), 2018)

Learning Plannable Representations with Causal InfoGAN. - Thanard Kurutach; Aviv Tamar; Ge Yang 003; Stuart J. Russell; Pieter Abbeel (NeurIPS, 2018)

Learning Robotic Manipulation through Visual Planning and Acting. - Angelina Wang; Thanard Kurutach; Pieter Abbeel; Aviv Tamar (Robotics: Science and Systems, 2019)

Learning Robotic Manipulation through Visual Planning and Acting. - Angelina Wang; Thanard Kurutach; Kara Liu; Pieter Abbeel; Aviv Tamar (CoRR, 2019)

Deep Variational Semi-Supervised Novelty Detection. - Tal Daniel; Thanard Kurutach; Aviv Tamar (CoRR, 2019)

Hallucinative Topological Memory for Zero-Shot Visual Planning. - Kara Liu; Thanard Kurutach; Christine Tung; Pieter Abbeel; Aviv Tamar (ICML, 2020)

Sparse Graphical Memory for Robust Planning. - Scott Emmons; Ajay Jain; Michael Laskin; Thanard Kurutach; Pieter Abbeel; Deepak Pathak (NeurIPS, 2020)

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. - Younggyo Seo; Kimin Lee; Ignasi Clavera Gilaberte; Thanard Kurutach; Jinwoo Shin; Pieter Abbeel (NeurIPS, 2020)

Learning to Manipulate Deformable Objects without Demonstrations. - Yilin Wu 003; Wilson Yan; Thanard Kurutach; Lerrel Pinto; Pieter Abbeel (Robotics: Science and Systems, 2020)

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. - Younggyo Seo; Kimin Lee; Ignasi Clavera; Thanard Kurutach; Jinwoo Shin; Pieter Abbeel (CoRR, 2020)

Mastering Atari Games with Limited Data. - Weirui Ye; Shaohuai Liu; Thanard Kurutach; Pieter Abbeel; Yang Gao 029 (NeurIPS, 2021)