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Alex Olshevsky — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Alex Olshevsky
10
papers ·
3
citations ·
23
h-index
Boston University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Temporal Difference Learning as Gradient Splitting
2020 · 2 citations
A Small Gain Analysis of Single Timescale Actor Critic
2022 · 1 citations
Data Deletion Can Help in Adaptive RL
2026
Geometric Re-Analysis of Classical MDP Solving Algorithms
2025
Analysis of Value Iteration Through Absolute Probability Sequences
2025
MDP Geometry, Normalization and Reward Balancing Solvers
2024
Closing the gap between SVRG and TD-SVRG with Gradient Splitting
2022
One-Shot Averaging for Distributed TD($λ$) Under Markov Sampling
2024
Sample Complexity of the Linear Quadratic Regulator: A Reinforcement Learning Lens
2024
On Value Iteration Convergence in Connected MDPs
2024
Top co-authors
Ioannis Ch. Paschalidis
· 6
Arsenii Mustafin
· 5
Aleksei Pakharev
· 2
Aditya Gangrade
· 1
Amirreza Neshaei Moghaddam
· 1
and Bahman Gharesifard
· 1
Bahman Gharesifard
· 1
Haoxing Tian
· 1
Param Budhraja
· 1
Rui Liu
· 1
Sebastien Colla
· 1
Venkatesh Saligrama
· 1
Topics
Value-Based
Policy Gradient
Model-Based RL
cs.LG
math.OC
Multi-Agent