Ofir Nachum
Ofir Nachum
Google Brain
Verified email at google.com
Title
Cited by
Cited by
Year
Learning to remember rare events
Ł Kaiser, O Nachum, A Roy, S Bengio
International Conference for Learning Representations, 2017
204*2017
Bridging the gap between value and policy based reinforcement learning
O Nachum, M Norouzi, K Xu, D Schuurmans
Advances in Neural Information Processing Systems, 2775-2785, 2017
1872017
Data-Efficient Hierarchical Reinforcement Learning
O Nachum, S Gu, H Lee, S Levine
Advances in Neural Information Processing Systems, 2018
1702018
Morphnet: Fast & simple resource-constrained structure learning of deep networks
A Gordon, E Eban, O Nachum, B Chen, H Wu, TJ Yang, E Choi
Proceedings of the IEEE conference on computer vision and pattern …, 2018
1432018
A Lyapunov-based Approach to Safe Reinforcement Learning
Y Chow, O Nachum, E Duenez-Guzman, M Ghavamzadeh
Advances in Neural Information Processing Systems, 2018
922018
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods
D Quillen, E Jang, O Nachum, C Finn, J Ibarz, S Levine
IEEE International Conference on Robotics and Automation, 2018
792018
Trust-pcl: An off-policy trust region method for continuous control
O Nachum, M Norouzi, K Xu, D Schuurmans
International Conference for Learning Representations, 2018
612018
Near-optimal representation learning for hierarchical reinforcement learning
O Nachum, S Gu, H Lee, S Levine
arXiv preprint arXiv:1810.01257, 2018
472018
Dualdice: Behavior-agnostic estimation of discounted stationary distribution corrections
O Nachum, Y Chow, B Dai, L Li
Advances in Neural Information Processing Systems, 2318-2328, 2019
372019
Deepmdp: Learning continuous latent space models for representation learning
C Gelada, S Kumar, J Buckman, O Nachum, MG Bellemare
arXiv preprint arXiv:1906.02736, 2019
282019
Lyapunov-based safe policy optimization for continuous control
Y Chow, O Nachum, A Faust, E Duenez-Guzman, M Ghavamzadeh
arXiv preprint arXiv:1901.10031, 2019
272019
Identifying and correcting label bias in machine learning
H Jiang, O Nachum
International Conference on Artificial Intelligence and Statistics, 702-712, 2020
262020
Path consistency learning in tsallis entropy regularized mdps
Y Chow, O Nachum, M Ghavamzadeh
International Conference on Machine Learning, 979-988, 2018
22*2018
Improving policy gradient by exploring under-appreciated rewards
O Nachum, M Norouzi, D Schuurmans
International Conference for Learning Representations, 2017
202017
Behavior regularized offline reinforcement learning
Y Wu, G Tucker, O Nachum
arXiv preprint arXiv:1911.11361, 2019
162019
Smoothed Action Value Functions for Learning Gaussian Policies
O Nachum, M Norouzi, G Tucker, D Schuurmans
International Conference on Machine Learning, 2018
142018
Multi-agent manipulation via locomotion using hierarchical sim2real
O Nachum, M Ahn, H Ponte, S Gu, V Kumar
arXiv preprint arXiv:1908.05224, 2019
132019
Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
O Nachum, H Tang, X Lu, S Gu, H Lee, S Levine
arXiv preprint arXiv:1909.10618, 2019
92019
The Laplacian in RL: Learning representations with efficient approximations
Y Wu, G Tucker, O Nachum
arXiv preprint arXiv:1810.04586, 2018
92018
D4rl: Datasets for deep data-driven reinforcement learning
J Fu, A Kumar, O Nachum, G Tucker, S Levine
arXiv preprint arXiv:2004.07219, 2020
8*2020
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Articles 1–20