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
Anton Raichuk — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Anton Raichuk
7
papers ·
340
citations ·
9
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Episodic Curiosity through Reachability
2018 · 162 citations
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study
2020 · 105 citations
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
2021 · 62 citations
Agent-Centric Representations for Multi-Agent Reinforcement Learning
2021 · 7 citations
Continuous Control with Action Quantization from Demonstrations
2021 · 2 citations
Implicitly Regularized RL with Implicit Q-Values
2021 · 1 citations
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization
2021 · 1 citations
Top co-authors
Matthieu Geist
· 3
Olivier Bachem
· 3
Olivier Pietquin
· 3
Sertan Girgin
· 3
Damien Vincent
· 2
Erik Frey
· 2
L\'eonard Hussenot
· 2
Marcin Andrychowicz
· 2
Sylvain Gelly
· 2
Byron David
· 1
C. Daniel Freeman
· 1
Daniel C. Freeman
· 1
Topics
Exploration
Value-Based
Policy Gradient
Model-Based RL
Multi-Agent
Game AI
Meta-RL
Safe RL
Offline RL