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Taylor W. Killian — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Taylor W. Killian
14
papers ·
24
citations ·
8
h-index
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
An Empirical Study of Representation Learning for Reinforcement Learning in Healthcare
2020 · 12 citations
Medical Dead-ends and Learning to Identify High-risk States and Treatments
2021 · 8 citations
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning
2023 · 4 citations
Efficient Agentic Reasoning Through Self-Regulated Simulative Planning
2026
Improving and Accelerating Offline RL in Large Discrete Action Spaces with Structured Policy Initialization
2026
Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective
2025
SAINT: Attention-Based Policies for Discrete Combinatorial Action Spaces
2025
BraVE: Offline Reinforcement Learning for Discrete Combinatorial Action Spaces
2024
Top co-authors
Marzyeh Ghassemi
· 3
Thomas Hartvigsen
· 3
Eric P. Xing
· 2
Jayakumar Subramanian
· 2
Zhengzhong Liu
· 2
Abulhair Saparov
· 1
Chengqian Gao
· 1
Fan Zhou
· 1
Feng Yao
· 1
Haonan Li
· 1
Haoran Zhang
· 1
Jianshu She
· 1
Topics
Offline RL
Model-Based RL
cs.LG
Value-Based
Safe RL
cs.AI
cs.CL
cs.RO
RLHF & Alignment
Policy Gradient