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
Baiting Luo — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Baiting Luo
6
papers ·
0
citations ·
2
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
In-Context Planning with Latent Temporal Abstractions
2026
Scalable Decision-Making in Stochastic Environments through Learned Temporal Abstraction
2025
NS-Gym: Open-Source Simulation Environments and Benchmarks for Non-Stationary Markov Decision Processes
2025
Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
2024
Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue
2024
Top co-authors
Abhishek Dubey
· 4
Yunuo Zhang
· 4
Ayan Mukhopadhyay
· 3
Aron Laszka
· 2
Ayan Mukhopadhyay
· 2
Nathaniel S. Keplinger
· 2
Abhishek Dubey
· 1
Anirban Roy
· 1
Ava Pettet
· 1
Daniel Elenius
· 1
Daniel Stojcsics
· 1
Gabor Karsai
· 1
Topics
Model-Based RL
Offline RL
Meta-RL
Exploration
Value-Based
Safe RL