Nadav Merlis

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Dynamic Pricing

Multi Armed Bandits

Top Venues

Publications

Nadav Merlis
Reinforcement Learning with Lookahead Information. CoRR (2024)
Matilde Tullii, Solenne Gaucher, Nadav Merlis, Vianney Perchet
Improved Algorithms for Contextual Dynamic Pricing. CoRR (2024)
Itai Shufaro, Nadav Merlis, Nir Weinberger, Shie Mannor
On Bits and Bandits: Quantifying the Regret-Information Trade-off. CoRR (2024)
Nadav Merlis, Dorian Baudry, Vianney Perchet
The Value of Reward Lookahead in Reinforcement Learning. CoRR (2024)
Dorian Baudry, Nadav Merlis, Mathieu Benjamin Molina, Hugo Richard, Vianney Perchet
Multi-armed bandits with guaranteed revenue per arm. AISTATS (2024)
Guy Tennenholtz, Martin Mladenov, Nadav Merlis, Craig Boutilier
Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics. CoRR (2023)
Pranav Khanna, Guy Tennenholtz, Nadav Merlis, Shie Mannor, Chen Tessler
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning. AAMAS (2023)
Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet
On Preemption and Learning in Stochastic Scheduling. ICML (2023)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
Reinforcement Learning with History-Dependent Dynamic Contexts. CoRR (2023)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier
Reinforcement Learning with History Dependent Dynamic Contexts. ICML (2023)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
Reinforcement Learning with a Terminator. NeurIPS (2022)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
Reinforcement Learning with a Terminator. CoRR (2022)
Nadav Merlis, Yonathan Efroni, Shie Mannor
Dare not to Ask: Problem-Dependent Guarantees for Budgeted Bandits. CoRR (2021)
Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir
Ensemble Bootstrapping for Q-Learning. ICML (2021)
Oren Peer, Chen Tessler, Nadav Merlis, Ron Meir
Ensemble Bootstrapping for Q-Learning. CoRR (2021)
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
Confidence-Budget Matching for Sequential Budgeted Learning. ICML (2021)
Yonathan Efroni, Nadav Merlis, Shie Mannor
Reinforcement Learning with Trajectory Feedback. AAAI (2021)
Yonathan Efroni, Nadav Merlis, Aadirupa Saha, Shie Mannor
Confidence-Budget Matching for Sequential Budgeted Learning. CoRR (2021)
Nadav Merlis, Shie Mannor
Lenient Regret for Multi-Armed Bandits. AAAI (2021)
Yonathan Efroni, Nadav Merlis, Shie Mannor
Reinforcement Learning with Trajectory Feedback. CoRR (2020)
Nadav Merlis, Shie Mannor
Lenient Regret for Multi-Armed Bandits. CoRR (2020)
Nadav Merlis, Shie Mannor
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. CoRR (2020)
Nadav Merlis, Shie Mannor
Tight Lower Bounds for Combinatorial Multi-Armed Bandits. COLT (2020)
Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. CoRR (2019)
Nadav Merlis, Shie Mannor
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. COLT (2019)
Yonathan Efroni, Nadav Merlis, Mohammad Ghavamzadeh, Shie Mannor
Tight Regret Bounds for Model-Based Reinforcement Learning with Greedy Policies. NeurIPS (2019)
Chen Tessler, Nadav Merlis, Shie Mannor
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. CoRR (2019)
Nadav Merlis, Shie Mannor
Batch-Size Independent Regret Bounds for the Combinatorial Multi-Armed Bandit Problem. CoRR (2019)
Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. NeurIPS (2018)
Tom Zahavy, Matan Haroush, Nadav Merlis, Daniel J. Mankowitz, Shie Mannor
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning. CoRR (2018)