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Carmelo Sferrazza — most-cited papers & profile · AI Agents
← authors
·
overview
Carmelo Sferrazza
15
papers ·
12
citations ·
11
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Sim-to-real for high-resolution optical tactile sensing: From images to 3D contact force distributions
2020 · 6 citations
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
RPL: Learning Robust Humanoid Perceptive Locomotion on Challenging Terrains
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
FastTD3: Simple, Fast, and Capable Reinforcement Learning for Humanoid Control
2025
Bigger, Regularized, Categorical: High-Capacity Value Functions are Efficient Multi-Task Learners
2025
Leveraging distributed contact force measurements for slip detection: a physics-based approach enabled by a data-driven tactile sensor
2021
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
2024
Top co-authors
Aviral Kumar
· 1
Marek Cygan
· 1
Michal Nauman
· 1
Pieter Abbeel
· 1
Topics
Model-Based RL
Exploration
Value-Based
Policy Gradient
Manipulation
Perception
Meta-RL
Humanoid
Human-Robot Interaction
Control