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Ilya Kostrikov
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2020 – today
- 2024
- [j1]Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura M. Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. RLJ 5: 2178-2197 (2024) - [c23]Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine:
Training Diffusion Models with Reinforcement Learning. ICLR 2024 - [i24]Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura M. Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine:
D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. CoRR abs/2408.08441 (2024) - 2023
- [c22]Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine:
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRL 2023: 3100-3111 - [c21]Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine:
Efficient Deep Reinforcement Learning Requires Regulating Overfitting. ICLR 2023 - [c20]Charlie Snell, Ilya Kostrikov, Yi Su, Sherry Yang, Sergey Levine:
Offline RL for Natural Language Generation with Implicit Language Q Learning. ICLR 2023 - [c19]Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. ICML 2023: 1577-1594 - [c18]Ilya Kostrikov, Laura M. Smith, Sergey Levine:
Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. Robotics: Science and Systems 2023 - [i23]Philip J. Ball, Laura M. Smith, Ilya Kostrikov, Sergey Levine:
Efficient Online Reinforcement Learning with Offline Data. CoRR abs/2302.02948 (2023) - [i22]Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine:
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRR abs/2304.09831 (2023) - [i21]Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine:
Efficient Deep Reinforcement Learning Requires Regulating Overfitting. CoRR abs/2304.10466 (2023) - [i20]Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, Sergey Levine:
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies. CoRR abs/2304.10573 (2023) - [i19]Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine:
Training Diffusion Models with Reinforcement Learning. CoRR abs/2305.13301 (2023) - 2022
- [c17]Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine:
Offline Reinforcement Learning for Visual Navigation. CoRL 2022: 44-54 - [c16]Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine:
RvS: What is Essential for Offline RL via Supervised Learning? ICLR 2022 - [c15]Ilya Kostrikov, Ashvin Nair, Sergey Levine:
Offline Reinforcement Learning with Implicit Q-Learning. ICLR 2022 - [c14]Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda:
In Defense of the Unitary Scalarization for Deep Multi-Task Learning. NeurIPS 2022 - [c13]Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS 2022 - [i18]Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar:
In Defense of the Unitary Scalarization for Deep Multi-Task Learning. CoRR abs/2201.04122 (2022) - [i17]Charlie Snell, Ilya Kostrikov, Yi Su, Mengjiao Yang, Sergey Levine:
Offline RL for Natural Language Generation with Implicit Language Q Learning. CoRR abs/2206.11871 (2022) - [i16]Laura M. Smith, Ilya Kostrikov, Sergey Levine:
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. CoRR abs/2208.07860 (2022) - [i15]Dhruv Shah, Arjun Bhorkar, Hrish Leen, Ilya Kostrikov, Nick Rhinehart, Sergey Levine:
Offline Reinforcement Learning for Visual Navigation. CoRR abs/2212.08244 (2022) - 2021
- [b1]Ilya Kostrikov:
Improving Sample Efficiency of Imitation and Reinforcement Learning. New York University, USA, 2021 - [c12]Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus:
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. AAAI 2021: 10674-10681 - [c11]Denis Yarats, Ilya Kostrikov, Rob Fergus:
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. ICLR 2021 - [c10]Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum:
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. ICML 2021: 5774-5783 - [c9]Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus:
Automatic Data Augmentation for Generalization in Reinforcement Learning. NeurIPS 2021: 5402-5415 - [i14]Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum:
Offline Reinforcement Learning with Fisher Divergence Critic Regularization. CoRR abs/2103.08050 (2021) - [i13]Ilya Kostrikov, Ashvin Nair, Sergey Levine:
Offline Reinforcement Learning with Implicit Q-Learning. CoRR abs/2110.06169 (2021) - [i12]Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR abs/2111.14629 (2021) - [i11]Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine:
RvS: What is Essential for Offline RL via Supervised Learning? CoRR abs/2112.10751 (2021) - 2020
- [c8]Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Imitation Learning via Off-Policy Distribution Matching. ICLR 2020 - [i10]Ilya Kostrikov, Denis Yarats, Rob Fergus:
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. CoRR abs/2004.13649 (2020) - [i9]Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus:
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning. CoRR abs/2006.12862 (2020) - [i8]Ilya Kostrikov, Ofir Nachum:
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation. CoRR abs/2007.13609 (2020)
2010 – 2019
- 2019
- [c7]Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson:
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning. ICLR (Poster) 2019 - [i7]Denis Yarats, Amy Zhang
, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus:
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. CoRR abs/1910.01741 (2019) - [i6]Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans:
AlgaeDICE: Policy Gradient from Arbitrary Experience. CoRR abs/1912.02074 (2019) - [i5]Ilya Kostrikov, Ofir Nachum, Jonathan Tompson:
Imitation Learning via Off-Policy Distribution Matching. CoRR abs/1912.05032 (2019) - 2018
- [c6]Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna:
Surface Networks. CVPR 2018: 2540-2548 - [c5]Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) 2018 - [i4]Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, Jonathan Tompson:
Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. CoRR abs/1809.02925 (2018) - 2017
- [i3]Sainbayar Sukhbaatar, Ilya Kostrikov, Arthur Szlam, Rob Fergus:
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. CoRR abs/1703.05407 (2017) - [i2]Ilya Kostrikov, Joan Bruna, Daniele Panozzo, Denis Zorin:
Surface Networks. CoRR abs/1705.10819 (2017) - 2016
- [c4]Umer Rafi, Bastian Leibe
, Juergen Gall, Ilya Kostrikov:
An Efficient Convolutional Network for Human Pose Estimation. BMVC 2016 - [c3]Tobias Weyand, Ilya Kostrikov, James Philbin:
PlaNet - Photo Geolocation with Convolutional Neural Networks. ECCV (8) 2016: 37-55 - [i1]Tobias Weyand, Ilya Kostrikov, James Philbin:
PlaNet - Photo Geolocation with Convolutional Neural Networks. CoRR abs/1602.05314 (2016) - 2014
- [c2]Ilya Kostrikov, Jürgen Gall:
Depth Sweep Regression Forests for Estimating 3D Human Pose from Images. BMVC 2014 - [c1]Ilya Kostrikov, Esther Horbert, Bastian Leibe
:
Probabilistic Labeling Cost for High-Accuracy Multi-view Reconstruction. CVPR 2014: 1534-1541
Coauthor Index

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