Thanard Kurutach

I enjoyed my time at Berkeley AI Research ( BAIR ) and received my PhD from UC Berkeley, where I was co-advised by Prof. Stuart Russell and Prof. Pieter Abbeel. Previously, I received my bachelor's degrees in Math and EECS from MIT, where I was fortunate to research in CSAIL with Prof. Stefanie Jegelka and Prof. Leslie Kaelbling, and I had interned at Google Brain, EnergySage, National ICT Australia, and Harvard Microrobotics Laboratory.

I am currently a research scientist and engineer at Cruise LLC, developing ML models and algorithms for electric autonomous vehicles to improve safety on the road, free up precious human time and efforts, and reduce our carbon footprints.

CV / Google Scholar / LinkedIn / Github / Twitter

thanard [dot] kurutach [at] getcruise [dot] com

Publications

Mastering Atari Games with Limited Data
Weirui Ye, Shaohuai Liu, Thanard Kurutach, Pieter Abbeel, Yang Gao
NeurIPS 2021
arxiv / code

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning
Younggyo Seo*, Kimin Lee*, Ignasi Clavera, Thanard Kurutach, Jinwoo Shin, Pieter Abbeel
NeurIPS 2020
arxiv / website / code

Sparse Graphical Memory for Robust Planning
Michael Laskin*, Scott Emmons*, Ajay Jain*, Thanard Kurutach, Pieter Abbeel, Deepak Pathak
NeurIPS 2020
arxiv / website / code

Hallucinative Topological Memory for Zero-Shot Visual Planning
Thanard Kurutach*, Kara Liu*, Christine Tung, Pieter Abbeel, Aviv Tamar
ICML 2020
arxiv / website / code

Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu*, Wilson Yan*, Thanard Kurutach, Lerrel Pinto, Pieter Abbeel
RSS 2020
arxiv / website / video / code

Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang, Thanard Kurutach, Kara Liu, Pieter Abbeel, Aviv Tamar
RSS 2019
arxiv / website / poster / video / data

Learning Plannable Representation with Causal InfoGAN
Thanard Kurutach*, Aviv Tamar*, Ge Yang, Stuart Russell, Pieter Abbeel
NeurIPS 2018
arxiv / website / poster / code

Model Ensemble Trust Region Policy Optimization
Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
ICLR 2018
arxiv / website / poster / code

Object-based World Modeling in Semi-Static Environments with Dependent Dirichlet-Process Mixtures
Lawson Wong, Thanard Kurutach, Leslie Pack Kaelbling, Tomás Lozano-Pérez
IJCAI 2016
arxiv / poster

Talk

Teaching

CS188 - Fall 2018 (GSI, UC Berkeley)

6.036 - Spring 2016 (TA, MIT)

6.008 - Fall 2015 (TA, MIT)

Website Credits
Last updated February 2023.