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Carmelo Sferrazza — most-cited papers & profile · Reinforcement Learning
← authors
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overview
Carmelo Sferrazza
15
papers ·
12
citations ·
11
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Language Reward Modulation for Pretraining Reinforcement Learning
2023 · 4 citations
Hand-Object Interaction Pretraining from Videos
2024 · 1 citations
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
2024 · 1 citations
Flow Policy Gradients for Robot Control
2026
Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching
2026
Learning Sim-to-Real Humanoid Locomotion in 15 Minutes
2025
SOMBRL: Scalable and Optimistic Model-Based 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
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
2024
Top co-authors
Pieter Abbeel
· 7
Andreas Krause
· 3
Guanya Shi
· 3
Rocky Duan
· 3
Younggyo Seo
· 3
Angjoo Kanazawa
· 2
Bhavya Sukhija
· 2
Himanshu Gaurav Singh
· 2
Lenart Treven
· 2
Michal Nauman
· 2
Stelian Coros
· 2
Ademi Adeniji
· 1
Topics
Model-Based RL
Exploration
Value-Based
Policy Gradient
Meta-RL
Multi-Agent
RLHF & Alignment
Safe RL