Thanard Kurutach

19 papers A* 6Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Mastering Atari Games with Limited Data. NeurIPS Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
2021	J	`jnl`	Mastering Atari Games with Limited Data. CoRR Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
2020	A*	`conf`	Hallucinative Topological Memory for Zero-Shot Visual Planning. ICML Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar
2020	J	`jnl`	Hallucinative Topological Memory for Zero-Shot Visual Planning. CoRR Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar
2020	—	`conf`	Learning to Manipulate Deformable Objects without Demonstrations. Robotics: Science and Systems Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel
2020	A*	`conf`	Sparse Graphical Memory for Robust Planning. NeurIPS Scott Emmons, Ajay Jain, Michael Laskin, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
2020	J	`jnl`	Sparse Graphical Memory for Robust Planning. CoRR Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
2020	A*	`conf`	Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. NeurIPS Younggyo Seo, Kimin Lee, Ignasi Clavera Gilaberte, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
2020	J	`jnl`	Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning. CoRR Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
2019	J	`jnl`	Deep Variational Semi-Supervised Novelty Detection. CoRR Tal Daniel, Thanard Kurutach, Aviv Tamar
2019	—	`conf`	Learning Robotic Manipulation through Visual Planning and Acting. Robotics: Science and Systems Angelina Wang, Thanard Kurutach, Pieter Abbeel, Aviv Tamar
2019	J	`jnl`	Learning Robotic Manipulation through Visual Planning and Acting. CoRR Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar
2019	J	`jnl`	Learning to Manipulate Deformable Objects without Demonstrations. CoRR Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel
2018	A*	`conf`	Learning Plannable Representations with Causal InfoGAN. NeurIPS Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel
2018	J	`jnl`	Learning Plannable Representations with Causal InfoGAN. CoRR Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel
2018	—	`conf`	Model-Ensemble Trust-Region Policy Optimization. ICLR (Poster) Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
2018	J	`jnl`	Model-Ensemble Trust-Region Policy Optimization. CoRR Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
2016	A*	`conf`	Object-Based World Modeling in Semi-Static Environments with Dependent Dirichlet Process Mixtures. IJCAI Lawson L. S. Wong, Thanard Kurutach, Tomás Lozano-Pérez, Leslie Pack Kaelbling
2015	J	`jnl`	Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures. CoRR Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez