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Philip Amortila — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Philip Amortila
12
papers ·
36
citations ·
4
h-index
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Most-cited papers
Constrained Markov Decision Processes via Backward Value Functions
2020 · 17 citations
A Variant of the Wang-Foster-Kakade Lower Bound for the Discounted Setting
2020 · 9 citations
On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function
2021 · 5 citations
A Distributional Analysis of Sampling-Based Reinforcement Learning Algorithms
2020 · 3 citations
Exponential Lower Bounds for Planning in MDPs With Linearly-Realizable Optimal Action-Value Functions
2020 · 1 citations
Scalable Online Exploration via Coverability
2024 · 1 citations
A Unifying View of Coverage in Linear Off-Policy Evaluation
2026
Model Selection for Off-policy Evaluation: New Algorithms and Experimental Protocol
2025
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation
2022
The Optimal Approximation Factors in Misspecified Off-Policy Value Function Estimation
2023
Harnessing Density Ratios for Online Reinforcement Learning
2024
Reinforcement Learning under Latent Dynamics: Toward Statistical and Algorithmic Modularity
2024
Top co-authors
Akshay Krishnamurthy
· 3
Csaba Szepesv\'ari
· 3
Dylan J. Foster
· 3
Nan Jiang
· 3
Nan Jiang
· 3
Audrey Huang
· 2
Gell\'ert Weisz
· 2
Tengyang Xie
· 2
Ayush Sekhari
· 1
Barnab\'as Janzer
· 1
Dean P. Foster
· 1
Dhruv Madeka
· 1
Topics
Value-Based
Model-Based RL
Offline RL
Exploration
Safe RL
Policy Gradient
Meta-RL