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
Nantas Nardelli — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Nantas Nardelli
6
papers ·
929
citations ·
13
h-index
Pacific Environment
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Counterfactual Multi-Agent Policy Gradients
2017 · 478 citations
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
2017 · 335 citations
Playing Doom with SLAM-Augmented Deep Reinforcement Learning
2016 · 46 citations
The NetHack Learning Environment
2020 · 40 citations
TorchBeast: A PyTorch Platform for Distributed RL
2019 · 29 citations
Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models
2023 · 1 citations
Top co-authors
Edward Grefenstette
· 2
Gregory Farquhar
· 2
Jakob Foerster
· 2
Marco Selvatici
· 2
Philip H. S. Torr
· 2
Shimon Whiteson
· 2
Triantafyllos Afouras
· 2
Alban Desmaison
· 1
Alexander Miller
· 1
Heinrich K\"uttler
· 1
Heinrich Küttler
· 1
John Shawe‐Taylor
· 1
Topics
Game AI
Value-Based
Exploration
Multi-Agent
Model-Based RL
Policy Gradient