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
Gregory Kahn — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Gregory Kahn
8
papers ·
368
citations ·
16
h-index
University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
2017 · 227 citations
Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
2019 · 115 citations
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
2018 · 10 citations
Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
2017 · 5 citations
Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots
2021 · 3 citations
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation
2017
Top co-authors
Sergey Levine
· 6
Pieter Abbeel
· 4
Adam Villaflor
· 3
Katie Kang
· 2
Anusha Nagabandi
· 1
Bosen Ding
· 1
Ronald S. Fearing
· 1
Suneel Belkhale
· 1
Vitchyr Pong
· 1
Topics
Model-Based RL
Safe RL
Exploration
Value-Based
Offline RL
Multi-Agent