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Nadav Merlis — most-cited papers & profile · Reinforcement Learning
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overview
Nadav Merlis
10
papers ·
94
citations ·
6
h-index
Google Scholar ↗
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Most-cited papers
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
2018 · 80 citations
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies
2019 · 12 citations
Confidence-Budget Matching for Sequential Budgeted Learning
2021 · 1 citations
Ensemble Bootstrapping for Q-Learning
2021 · 1 citations
Reinforcement Learning with Multi-Step Lookahead Information Via Adaptive Batching
2026
On the Hardness of Reinforcement Learning with Transition Look-Ahead
2025
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
2019
Reinforcement Learning with a Terminator
2022
Reinforcement Learning with History-Dependent Dynamic Contexts
2023
Top co-authors
Shie Mannor
· 5
Guy Tennenholtz
· 3
Chen Tessler
· 2
Lior Shani
· 2
Yonathan Efroni
· 2
Aadirupa Saha
· 1
and Gal Dalal
· 1
Assaf Hallak
· 1
Corentin Pla
· 1
Craig Boutilier
· 1
Daniel J. Mankowitz
· 1
Gal Chechik
· 1
Topics
Value-Based
Model-Based RL
Exploration
Game AI
Safe RL
Multi-Agent
Policy Gradient