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
Philemon Brakel — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Philemon Brakel
8
papers ·
324
citations ·
17
h-index
Google (United States) · Google DeepMind (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
An Actor-Critic Algorithm for Sequence Prediction
2016 · 224 citations
Recall Traces: Backtracking Models for Efficient Reinforcement Learning
2018 · 25 citations
Offline Actor-Critic Reinforcement Learning Scales to Large Models
2024 · 2 citations
Value from Observations: Towards Large-Scale Imitation Learning via Self-Improvement
2025
Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner
2021
Top co-authors
Nicolas Heess
· 3
Abbas Abdolmaleki
· 2
Anirudh Goyal
· 2
Jost Tobias Springenberg
· 2
Martin Riedmiller
· 2
Michael Bloesch
· 2
Roland Hafner
· 2
Yoshua Bengio
· 2
Aaron Courville
· 1
Dzmitry Bahdanau
· 1
Hugo Larochelle
· 1
Jingwei Zhang
· 1
Topics
Value-Based
Offline RL
Policy Gradient
Model-Based RL
Exploration
Meta-RL
Multi-Agent