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
Max Sobol Mark — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Max Sobol Mark
5
papers ·
22
citations ·
5
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
2023 · 20 citations
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias
2023 · 1 citations
Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
2023 · 1 citations
Policy Agnostic RL: Offline RL and Online RL Fine-Tuning of Any Class and Backbone
2024
Top co-authors
Chelsea Finn
· 4
Archit Sharma
· 3
Sergey Levine
· 2
and Aviral Kumar
· 1
Anikait Singh
· 1
Aviral Kumar
· 1
Brandon Vu
· 1
Fahim Tajwar
· 1
Georgia Gabriela Sampaio
· 1
Jeannette Bohg
· 1
Jingyun Yang
· 1
Mitsuhiko Nakamoto
· 1
Topics
Offline RL
Policy Gradient
Model-Based RL
Value-Based
Exploration
Meta-RL