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Michal Nauman — most-cited papers & profile · AI Agents
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overview
Michal Nauman
8
papers ·
0
citations ·
0
h-index
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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
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
· 1
Carmelo Sferrazza
· 1
Marek Cygan
· 1
Pieter Abbeel
· 1
Topics
Value-Based
Model-Based RL
Meta-RL
Offline RL
Humanoid
Control
Human-Robot Interaction
Policy Gradient
Multi-Agent