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
Brian Hou — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Brian Hou
5
papers ·
24
citations ·
8
h-index
Vanderbilt University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions
2018 · 10 citations
Bayesian Policy Optimization for Model Uncertainty
2018 · 4 citations
Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes
2018
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts
2020
Top co-authors
Gilwoo Lee
· 3
Sanjiban Choudhury
· 3
Siddhartha S. Srinivasa
· 3
Aditya Mandalika
· 2
Jeongseok Lee
· 1
Lerrel Pinto
· 1
Siddhartha Srinivasa
· 1
Topics
Model-Based RL
Exploration
Policy Gradient
Meta-RL