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
Pietro Mazzaglia — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Pietro Mazzaglia
11
papers ·
5
citations ·
6
h-index
McGill University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FOCUS: Object-Centric World Models for Robotics Manipulation
2023 · 2 citations
GenRL: Multimodal-foundation world models for generalization in embodied agents
2024 · 2 citations
Object-Centric Scene Representations using Active Inference
2023 · 1 citations
Hybrid Training for Vision-Language-Action Models
2025
Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models
2025
Focusing on What Matters: Object-Agent-centric Tokenization for Vision Language Action models
2025
From Code to Action: Hierarchical Learning of Diffusion-VLM Policies
2025
From Code To Action: Hierarchical Learning Of Diffusion-vlm Policies
2025
Information-driven Affordance Discovery for Efficient Robotic Manipulation
2023
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
2023
Representing Positional Information in Generative World Models for Object Manipulation
2024
Topics
Manipulation
Human-Robot Interaction
Control
Navigation
Vision-Language Models
Embodied & Agents
Perception
Sim-to-Real
Video-Language
Benchmarks