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Anna Harutyunyan — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Anna Harutyunyan
13
papers ·
168
citations ·
8
h-index
Nashville Public Library · Brown County Public Library
Google Scholar ↗
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Most-cited papers
Safe and Efficient Off-Policy Reinforcement Learning
2016 · 94 citations
Q($λ$) with Off-Policy Corrections
2016 · 23 citations
The Termination Critic
2019 · 19 citations
Hindsight Credit Assignment
2019 · 17 citations
Counterfactual Credit Assignment in Model-Free Reinforcement Learning
2020 · 8 citations
Useful Policy Invariant Shaping from Arbitrary Advice
2020 · 3 citations
An Analysis of Quantile Temporal-Difference Learning
2023 · 3 citations
Bootstrapped Representations in Reinforcement Learning
2023 · 1 citations
Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets
2017
Conditional Importance Sampling for Off-Policy Learning
2019
On the Expressivity of Markov Reward
2021
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
2023
Three Dogmas of Reinforcement Learning
2024
Top co-authors
Will Dabney
· 7
R\'emi Munos
· 5
Marc G. Bellemare
· 4
Mark Rowland
· 4
Doina Precup
· 3
Nicolas Heess
· 3
Remi Munos
· 3
Tom Stepleton
· 3
David Abel
· 2
Diana Borsa
· 2
Hado van Hasselt
· 2
Mark K. Ho
· 2
Topics
Value-Based
Policy Gradient
Offline RL
Model-Based RL
Meta-RL
Safe RL
Exploration
RLHF & Alignment
Multi-Agent
Game AI