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Baiting Luo — most-cited papers & profile · Reinforcement Learning
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overview
Baiting Luo
8
papers ·
0
citations ·
2
h-index
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Most-cited papers
In-Context Planning with Latent Temporal Abstractions
2026
Observation Adaptation via Annealed Importance Resampling for Partially Observable Markov Decision Processes
2025
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
Decision Making in Non-Stationary Environments with Policy-Augmented Search
2024
Shrinking POMCP: A Framework for Real-Time UAV Search and Rescue
2024
Top co-authors
Abhishek Dubey
· 7
Ayan Mukhopadhyay
· 7
Yunuo Zhang
· 6
Aron Laszka
· 3
Ava Pettet
· 2
Nathaniel S. Keplinger
· 2
Anirban Roy
· 1
Daniel Elenius
· 1
Daniel Stojcsics
· 1
Gabor Karsai
· 1
Hendrik Baier
· 1
Iliyas Bektas
· 1
Topics
Model-Based RL
Meta-RL
Value-Based
Exploration
cs.LG
cs.AI
Offline RL
Safe RL
Policy Gradient
Game AI