Kurutach, Thanard

8 publications

NeurIPSW 2021 Deep Variational Semi-Supervised Novelty Detection Tal Daniel, Thanard Kurutach, Aviv Tamar

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

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

NeurIPS 2020 Sparse Graphical Memory for Robust Planning Scott Emmons, Ajay N. Jain, Misha 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 2018 Learning Plannable Representations with Causal InfoGAN Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel

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

IJCAI 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