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Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning


Oct 26, 2020
Younggyo Seo, Kimin Lee, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel

* Accepted in NeurIPS2020. First two authors contributed equally, website: https://sites.google.com/view/trajectory-mcl code: https://github.com/younggyoseo/trajectory_mcl 

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Sparse Graphical Memory for Robust Planning


Mar 13, 2020
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak

* Video and code at https://mishalaskin.github.io/sgm/ 

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Hallucinative Topological Memory for Zero-Shot Visual Planning


Feb 27, 2020
Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar


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Deep Variational Semi-Supervised Novelty Detection


Nov 12, 2019
Tal Daniel, Thanard Kurutach, Aviv Tamar


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Learning to Manipulate Deformable Objects without Demonstrations


Oct 29, 2019
Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel

* Project website: https://sites.google.com/view/alternating-pick-and-place 

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Learning Robotic Manipulation through Visual Planning and Acting


May 11, 2019
Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar

* RSS 2019. Website at https://sites.google.com/berkeley.edu/vpa/home 

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Model-Ensemble Trust-Region Policy Optimization


Oct 05, 2018
Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel


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Learning Plannable Representations with Causal InfoGAN


Jul 24, 2018
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel

* ICML / IJCAI / AAMAS 2018 Workshop on Planning and Learning (PAL-18) 

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Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures


Dec 02, 2015
Lawson L. S. Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez


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