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
Mirco Mutti — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Mirco Mutti
19
papers ·
10
citations ·
6
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Unsupervised Reinforcement Learning in Multiple Environments
2021 · 3 citations
The Importance of Non-Markovianity in Maximum State Entropy Exploration
2022 · 3 citations
Configurable Markov Decision Processes
2018 · 2 citations
Challenging Common Assumptions in Convex Reinforcement Learning
2022 · 1 citations
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization
2022 · 1 citations
State Entropy Regularization for Robust Reinforcement Learning
2025
Enhancing Diversity in Parallel Agents: A Maximum State Entropy Exploration Story
2025
Towards Principled Unsupervised Multi-Agent Reinforcement Learning
2025
Reward Compatibility: A Framework for Inverse RL
2025
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate
2020
Reward-Free Policy Space Compression for Reinforcement Learning
2022
A Tale of Sampling and Estimation in Discounted Reinforcement Learning
2023
Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
2023
Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms
2024
Test-Time Regret Minimization in Meta Reinforcement Learning
2024
Top co-authors
Marcello Restelli
· 12
Riccardo De Santi
· 5
Alberto Maria Metelli
· 4
Filippo Lazzati
· 3
Riccardo Zamboni
· 3
Alberto Metelli
· 1
Alexander Marx
· 1
Andreas Krause
· 1
Aviv Tamar
· 1
Duilio Cirino
· 1
Emanuele Rossi
· 1
Esther Derman
· 1
Topics
Exploration
Model-Based RL
Policy Gradient
Meta-RL
Safe RL
Multi-Agent
Offline RL
Game AI
Value-Based