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Ilya Kostrikov

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

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Achievements

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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (40) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🧭 Keyword Pioneer πŸ‘‘ Triple Crown 🀝 Dynamic Duo (10) ⚑ Prolific Year Β· Productive πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (84)

Venues

ICLR (9) NeurIPS (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)

Research topics

Reinforcement Learning (15) Machine Learning (14) Methods (13) Learning Types Β· Machine Learning (9) Deep Learning (8) Applications (6) Learning Types Β· Deep Learning (6) Artificial Intelligence (5) Core AI (3) Core Methods (3) Models (3) Optimization & Theory (3) Application Areas (2) Learning Paradigms (2) Computer Vision (1)

Keywords

sample efficiency (6) offline reinforcement learning (6) reinforcement learning (4) value function (3) deep reinforcement learning (3) data augmentation (2) off-policy learning (2) domain generalization (2) model-free reinforcement learning (2) variational autoencoder (2) reward function (2) imitation learning (1) model selection (1) robotic navigation (1) image generation (1) sequence modeling (1) visual observation (1) natural language generation (1) contrastive learning (1) self-supervised learning (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 Deep Reinforcement Learning Requires Regulating Overfitting ICLR 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing CoRL 2023 Offline RL for Natural Language Generation with Implicit Language Q Learning ICLR 2023 Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions NeurIPS 2022 In Defense of the Unitary Scalarization for Deep Multi-Task Learning NeurIPS 2022 Offline Reinforcement Learning for Visual Navigation CoRL 2022 Offline Reinforcement Learning with Implicit Q-Learning ICLR 2022 RvS: What is Essential for Offline RL via Supervised Learning? ICLR 2022 Automatic Data Augmentation for Generalization in Reinforcement Learning NeurIPS 2021 Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels ICLR 2021 Improving Sample Efficiency in Model-Free Reinforcement Learning from Images AAAI 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