Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Ilya Kostrikov — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Ilya Kostrikov
22
papers ·
652
citations ·
25
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
2020 · 171 citations
Offline Reinforcement Learning with Implicit Q-Learning
2021 · 131 citations
AlgaeDICE: Policy Gradient from Arbitrary Experience
2019 · 82 citations
Automatic Data Augmentation for Generalization in Deep Reinforcement Learning
2020 · 52 citations
Offline Reinforcement Learning with Fisher Divergence Critic Regularization
2021 · 39 citations
Imitation Learning via Off-Policy Distribution Matching
2019 · 30 citations
A Walk in the Park: Learning to Walk in 20 Minutes With Model-Free Reinforcement Learning
2022 · 25 citations
Training Diffusion Models with Reinforcement Learning
2023 · 21 citations
Statistical Bootstrapping for Uncertainty Estimation in Off-Policy Evaluation
2020 · 15 citations
Efficient Online Reinforcement Learning with Offline Data
2023 · 13 citations
Efficient Deep Reinforcement Learning Requires Regulating Overfitting
2023 · 9 citations
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
2023 · 9 citations
Offline Reinforcement Learning for Visual Navigation
2022 · 6 citations
FastRLAP: A System for Learning High-Speed Driving via Deep RL and Autonomous Practicing
2023 · 5 citations
RvS: What is Essential for Offline RL via Supervised Learning?
2021 · 3 citations
Top co-authors
Sergey Levine
· 9
Ofir Nachum
· 5
Rob Fergus
· 4
Denis Yarats
· 3
Jonathan Tompson
· 3
Laura Smith
· 3
Arjun Bhorkar
· 2
Aviral Kumar
· 2
Dhruv Shah
· 2
Michael Janner
· 2
Philippe Hansen-Estruch
· 2
Amy Zhang
· 1
Topics
Offline RL
Value-Based
Policy Gradient
Exploration
Safe RL
Model-Based RL
Game AI
Meta-RL
RLHF & Alignment