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Jordan T. Ash — most-cited papers & profile · Reinforcement Learning
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Jordan T. Ash
5
papers ·
9
citations ·
12
h-index
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Most-cited papers
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning
2024 · 1 citations
Representation-Based Exploration for Language Models: From Test-Time to Post-Training
2025
Anti-Concentrated Confidence Bonuses for Scalable Exploration
2021
Top co-authors
Akshay Krishnamurthy
· 2
Arthur Juliani
· 1
Cyril Zhang
· 1
Dylan J. Foster
· 1
Jens Tuyls
· 1
Sham Kakade
· 1
Surbhi Goel
· 1
Topics
Exploration
Model-Based RL
Value-Based
RLHF & Alignment
Safe RL
Policy Gradient
Meta-RL
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