← Authors

Ilya Kostrikov

20 papers · 2014–2024 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (5) 🌈 Renaissance Researcher (6) πŸ—ΊοΈ Taxonomy Completionist (27) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (52) ❓ The Questioner ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ’Ž Century Club (20) πŸ”₯ Unstoppable (7)

Conferences

ICLR (9) NIPS (3) CORL (2) CVPR (2) ICML (2) AAAI (1) RSS (1)

Top co-authors

Sergey Levine (10) Rob Fergus (5) Denis Yarats (3) Jonathan Tompson (3) Ofir Nachum (3) Arjun Bhorkar (2) Dhruv Shah (2) Pawan K Mudigonda (1) Maxwell Goldstein (1) Gabriel Synnaeve (1)

Keywords

offline reinforcement learning (3) sample efficiency (3) reinforcement learning (2) variational autoencoder (2) domain generalization (2) model-free reinforcement learning (2) deep reinforcement learning (2) multi-task learning (1) self-supervised learning (1) 3d reconstruction (1) markov decision process (1) data augmentation (1) autonomous driving (1) 3d vision (1) robotic navigation (1) outlier detection (1) neural network optimization (1) visual navigation (1) policy learning (1) visual observation (1)

Papers

Training Diffusion Models with Reinforcement Learning ICLR 2024
Demonstrating A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning RSS 2023
Efficient Online Reinforcement Learning with Offline Data ICML 2023
Offline RL for Natural Language Generation with Implicit Language Q Learning ICLR 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting ICLR 2023
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing CORL 2023
In Defense of the Unitary Scalarization for Deep Multi-Task Learning NIPS 2022
Offline Reinforcement Learning with Implicit Q-Learning ICLR 2022
RvS: What is Essential for Offline RL via Supervised Learning? ICLR 2022
Offline Reinforcement Learning for Visual Navigation CORL 2022
Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions NIPS 2022
Automatic Data Augmentation for Generalization in Reinforcement Learning NIPS 2021
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 2021
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels ICLR 2021
Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021
Imitation Learning via Off-Policy Distribution Matching ICLR 2020
Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning ICLR 2019
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play ICLR 2018
Surface Networks CVPR 2018
Probabilistic Labeling Cost for High-Accuracy Multi-View Reconstruction CVPR 2014