Thanard Kurutach

According to our database, Thanard Kurutach authored at least 12 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Mastering Atari Games with Limited Data.

Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Learning to Manipulate Deformable Objects without Demonstrations.

Yilin Wu, Wilson Yan, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel

Proceedings of the Robotics: Science and Systems XVI, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Sparse Graphical Memory for Robust Planning.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Hallucinative Topological Memory for Zero-Shot Visual Planning.

Kara Liu, Thanard Kurutach, Christine Tung, Pieter Abbeel, Aviv Tamar

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Deep Variational Semi-Supervised Novelty Detection.

Tal Daniel, Thanard Kurutach, Aviv Tamar

CoRR, 2019

Learning Robotic Manipulation through Visual Planning and Acting.

Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar

CoRR, 2019

Learning Robotic Manipulation through Visual Planning and Acting.

Angelina Wang, Thanard Kurutach, Pieter Abbeel, Aviv Tamar

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Learning Plannable Representations with Causal InfoGAN.

Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart J. Russell, Pieter Abbeel

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Model-Ensemble Trust-Region Policy Optimization.

Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel

Proceedings of the 6th International Conference on Learning Representations, 2018

2016

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

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016