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
Daniele Calandriello — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Daniele Calandriello
11
papers ·
19
citations ·
12
h-index
Institut national de recherche en sciences et technologies du numérique · Italian Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A General Theoretical Paradigm to Understand Learning from Human Preferences
2023 · 14 citations
Understanding Self-Predictive Learning for Reinforcement Learning
2022 · 1 citations
Nash Learning from Human Feedback
2023 · 1 citations
Multi-turn Reinforcement Learning from Preference Human Feedback
2024 · 1 citations
Offline Regularised Reinforcement Learning for Large Language Models Alignment
2024 · 1 citations
Proximal Point Nash Learning from Human Feedback
2025
Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
2022
Fast Rates for Maximum Entropy Exploration
2023
Demonstration-Regularized RL
2023
Model-free Posterior Sampling via Learning Rate Randomization
2023
Top co-authors
Michal Valko
· 8
Alexey Naumov
· 5
Bilal Piot
· 5
Daniil Tiapkin
· 5
Denis Belomestny
· 5
Eric Moulines
· 5
Pierre Menard
· 5
Mohammad Gheshlaghi Azar
· 4
Yunhao Tang
· 4
Pierre Perrault
· 3
Remi Munos
· 3
Remi Munos
· 3
Topics
RLHF & Alignment
Policy Gradient
Model-Based RL
Game AI
Exploration
Value-Based
Offline RL
Meta-RL
Multi-Agent