Ilya Kostrikov

49 papers A* 15A 2Misc 2Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. RLJ Rafael Rafailov, Kyle Beltran Hatch, Anikait Singh, Aviral Kumar, Laura Smith, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Sergey Levine, Chelsea Finn
2024	J	`jnl`	D5RL: Diverse Datasets for Data-Driven Deep Reinforcement Learning. CoRR Rafael Rafailov, Kyle Hatch, Anikait Singh, Laura Smith, Aviral Kumar, Ilya Kostrikov, Philippe Hansen-Estruch, Victor Kolev, Philip J. Ball, Jiajun Wu, Chelsea Finn, Sergey Levine
2024	A*	`conf`	Training Diffusion Models with Reinforcement Learning. ICLR Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
2023	—	`conf`	Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. Robotics: Science and Systems Ilya Kostrikov, Laura Smith, Sergey Levine
2023	A*	`conf`	Efficient Deep Reinforcement Learning Requires Regulating Overfitting. ICLR Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
2023	J	`jnl`	Efficient Deep Reinforcement Learning Requires Regulating Overfitting. CoRR Qiyang Li, Aviral Kumar, Ilya Kostrikov, Sergey Levine
2023	A*	`conf`	Efficient Online Reinforcement Learning with Offline Data. ICML Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine
2023	J	`jnl`	Efficient Online Reinforcement Learning with Offline Data. CoRR Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine
2023	Misc	`conf`	FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRL Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine
2023	J	`jnl`	FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing. CoRR Kyle Stachowicz, Dhruv Shah, Arjun Bhorkar, Ilya Kostrikov, Sergey Levine
2023	J	`jnl`	IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies. CoRR Philippe Hansen-Estruch, Ilya Kostrikov, Michael Janner, Jakub Grudzien Kuba, Sergey Levine
2023	A*	`conf`	Offline RL for Natural Language Generation with Implicit Language Q Learning. ICLR Charlie Snell, Ilya Kostrikov, Yi Su, Sherry Yang, Sergey Levine
2023	J	`jnl`	Training Diffusion Models with Reinforcement Learning. CoRR Kevin Black, Michael Janner, Yilun Du, Ilya Kostrikov, Sergey Levine
2022	J	`jnl`	A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning. CoRR Laura Smith, Ilya Kostrikov, Sergey Levine
2022	A*	`conf`	Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. NeurIPS Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2022	A*	`conf`	In Defense of the Unitary Scalarization for Deep Multi-Task Learning. NeurIPS Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda
2022	J	`jnl`	In Defense of the Unitary Scalarization for Deep Multi-Task Learning. CoRR Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, M. Pawan Kumar
2022	J	`jnl`	Offline RL for Natural Language Generation with Implicit Language Q Learning. CoRR Charlie Snell, Ilya Kostrikov, Yi Su, Mengjiao Yang, Sergey Levine
2022	Misc	`conf`	Offline Reinforcement Learning for Visual Navigation. CoRL Dhruv Shah, Arjun Bhorkar, Hrishit Leen, Ilya Kostrikov, Nicholas Rhinehart, Sergey Levine
2022	J	`jnl`	Offline Reinforcement Learning for Visual Navigation. CoRR Dhruv Shah, Arjun Bhorkar, Hrish Leen, Ilya Kostrikov, Nick Rhinehart, Sergey Levine
2022	A*	`conf`	Offline Reinforcement Learning with Implicit Q-Learning. ICLR Ilya Kostrikov, Ashvin Nair, Sergey Levine
2022	A*	`conf`	RvS: What is Essential for Offline RL via Supervised Learning? ICLR Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine
2021	A*	`conf`	Automatic Data Augmentation for Generalization in Reinforcement Learning. NeurIPS Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2021	A*	`conf`	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. ICLR Denis Yarats, Ilya Kostrikov, Rob Fergus
2021	A*	`conf`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. AAAI Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2021	—	`—`	Improving Sample Efficiency of Imitation and Reinforcement Learning. Ilya Kostrikov
2021	J	`jnl`	Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions. CoRR Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2021	A*	`conf`	Offline Reinforcement Learning with Fisher Divergence Critic Regularization. ICML Ilya Kostrikov, Rob Fergus, Jonathan Tompson, Ofir Nachum
2021	J	`jnl`	Offline Reinforcement Learning with Fisher Divergence Critic Regularization. CoRR Ilya Kostrikov, Jonathan Tompson, Rob Fergus, Ofir Nachum
2021	J	`jnl`	Offline Reinforcement Learning with Implicit Q-Learning. CoRR Ilya Kostrikov, Ashvin Nair, Sergey Levine
2021	J	`jnl`	RvS: What is Essential for Offline RL via Supervised Learning? CoRR Scott Emmons, Benjamin Eysenbach, Ilya Kostrikov, Sergey Levine
2020	J	`jnl`	Automatic Data Augmentation for Generalization in Deep Reinforcement Learning. CoRR Roberta Raileanu, Maxwell Goldstein, Denis Yarats, Ilya Kostrikov, Rob Fergus
2020	J	`jnl`	Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels. CoRR Ilya Kostrikov, Denis Yarats, Rob Fergus
2020	A*	`conf`	Imitation Learning via Off-Policy Distribution Matching. ICLR Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2020	J	`jnl`	Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation. CoRR Ilya Kostrikov, Ofir Nachum
2019	J	`jnl`	AlgaeDICE: Policy Gradient from Arbitrary Experience. CoRR Ofir Nachum, Bo Dai, Ilya Kostrikov, Yinlam Chow, Lihong Li, Dale Schuurmans
2019	—	`conf`	Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning. ICLR (Poster) Ilya Kostrikov, Kumar Krishna Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson
2019	J	`jnl`	Imitation Learning via Off-Policy Distribution Matching. CoRR Ilya Kostrikov, Ofir Nachum, Jonathan Tompson
2019	J	`jnl`	Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. CoRR Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus
2018	J	`jnl`	Addressing Sample Inefficiency and Reward Bias in Inverse Reinforcement Learning. CoRR Ilya Kostrikov, Kumar Krishna Agrawal, Sergey Levine, Jonathan Tompson
2018	—	`conf`	Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. ICLR (Poster) Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus
2018	A*	`conf`	Surface Networks. CVPR Ilya Kostrikov, Zhongshi Jiang, Daniele Panozzo, Denis Zorin, Joan Bruna
2017	J	`jnl`	Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play. CoRR Sainbayar Sukhbaatar, Ilya Kostrikov, Arthur Szlam, Rob Fergus
2017	J	`jnl`	Surface Networks. CoRR Ilya Kostrikov, Joan Bruna, Daniele Panozzo, Denis Zorin
2016	A	`conf`	An Efficient Convolutional Network for Human Pose Estimation. BMVC Umer Rafi, Bastian Leibe, Juergen Gall, Ilya Kostrikov
2016	—	`conf`	PlaNet - Photo Geolocation with Convolutional Neural Networks. ECCV (8) Tobias Weyand, Ilya Kostrikov, James Philbin
2016	J	`jnl`	PlaNet - Photo Geolocation with Convolutional Neural Networks. CoRR Tobias Weyand, Ilya Kostrikov, James Philbin
2014	A	`conf`	Depth Sweep Regression Forests for Estimating 3D Human Pose from Images. BMVC Ilya Kostrikov, Jürgen Gall
2014	A*	`conf`	Probabilistic Labeling Cost for High-Accuracy Multi-view Reconstruction. CVPR Ilya Kostrikov, Esther Horbert, Bastian Leibe