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
Michal Nauman — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Michal Nauman
8
papers ·
0
citations ·
0
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
What Does Flow Matching Bring To TD Learning?
2026
Reward-Conditioned Reinforcement Learning
2026
floq: Training Critics via Flow-Matching for Scaling Compute in Value-Based RL
2025
Compute-Optimal Scaling for Value-Based Deep RL
2025
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
2025
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
2025
Top co-authors
Aviral Kumar
· 3
Pieter Abbeel
· 3
Bhavya Agrawalla
· 2
Carmelo Sferrazza
· 2
Marek Cygan
· 2
Aviral Kumar
· 1
Haoran Geng
· 1
Khush Agrawal
· 1
Oleh Rybkin
· 1
Pieter Abbeel
· 1
Preston Fu
· 1
Sergey Levine
· 1
Topics
Value-Based
Model-Based RL
Meta-RL
Offline RL
Policy Gradient
Multi-Agent