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
Lantao Liu — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Lantao Liu
30
papers ·
22
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Solution to Time-Varying Markov Decision Processes
2016 · 4 citations
Kernel Taylor-Based Value Function Approximation for Continuous-State Markov Decision Processes
2020 · 3 citations
Learning What Matters: Adaptive Information-Theoretic Objectives for Robot Exploration
2026
Reachability and Differential based Heuristics for Solving Markov Decision Processes
2019
Solving Markov Decision Processes with Reachability Characterization from Mean First Passage Times
2019
Accelerating Goal-Directed Reinforcement Learning by Model Characterization
2019
Adaptive Diffusion Terrain Generator for Autonomous Uneven Terrain Navigation
2024
Top co-authors
Gaurav Sukhatme
· 3
Shoubhik Debnath
· 3
Junhong Xu
· 2
Youwei Yu
· 2
Gaurav S. Sukhatme
· 1
Jionghao Wang
· 1
Kai Yin
· 1
Wenping Wang
· 1
Zhengming Yu
· 1
Topics
Model-Based RL
Value-Based
Exploration
cs.RO
cs.AI
cs.IT
cs.LG
cs.SY
eess.SY
math.IT