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Nadav Merlis
Nadav Merlis
Postdoctoral Fellow @ CREST, ENSAE Paris
Verified email at ensae.fr - Homepage
Title
Cited by
Cited by
Year
Learn what not to learn: Action elimination with deep reinforcement learning
T Zahavy, M Haroush, N Merlis, DJ Mankowitz, S Mannor
arXiv preprint arXiv:1809.02121, 2018
2382018
Tight regret bounds for model-based reinforcement learning with greedy policies
Y Efroni, N Merlis, M Ghavamzadeh, S Mannor
Advances in Neural Information Processing Systems 32, 2019
782019
Ensemble bootstrapping for q-learning
O Peer, C Tessler, N Merlis, R Meir
International Conference on Machine Learning, 8454-8463, 2021
362021
Reinforcement learning with trajectory feedback
Y Efroni, N Merlis, S Mannor
Proceedings of the AAAI conference on artificial intelligence 35 (8), 7288-7295, 2021
352021
Batch-size independent regret bounds for the combinatorial multi-armed bandit problem
N Merlis, S Mannor
Conference on Learning Theory, 2465-2489, 2019
252019
Tight lower bounds for combinatorial multi-armed bandits
N Merlis, S Mannor
Conference on Learning Theory, 2830-2857, 2020
192020
Confidence-budget matching for sequential budgeted learning
Y Efroni, N Merlis, A Saha, S Mannor
International Conference on Machine Learning, 2937-2947, 2021
92021
Lenient regret for multi-armed bandits
N Merlis, S Mannor
Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8950-8957, 2021
72021
Reinforcement Learning with History Dependent Dynamic Contexts
G Tennenholtz, N Merlis, L Shani, M Mladenov, C Boutilier
International Conference on Machine Learning, 34011-34053, 2023
42023
Never Worse, Mostly Better: Stable Policy Improvement in Deep Reinforcement Learning
P Khanna, G Tennenholtz, N Merlis, S Mannor, C Tessler
arXiv preprint arXiv:1910.01062, 2019
4*2019
On preemption and learning in stochastic scheduling
N Merlis, H Richard, F Sentenac, C Odic, M Molina, V Perchet
International Conference on Machine Learning, 24478-24516, 2023
22023
Reinforcement learning with a terminator
G Tennenholtz, N Merlis, L Shani, S Mannor, U Shalit, G Chechik, ...
Advances in Neural Information Processing Systems 35, 35696-35709, 2022
22022
The Value of Reward Lookahead in Reinforcement Learning
N Merlis, D Baudry, V Perchet
arXiv preprint arXiv:2403.11637, 2024
12024
Improved Algorithms for Contextual Dynamic Pricing
M Tullii, S Gaucher, N Merlis, V Perchet
arXiv preprint arXiv:2406.11316, 2024
2024
Reinforcement Learning with Lookahead Information
N Merlis
arXiv preprint arXiv:2406.02258, 2024
2024
On Bits and Bandits: Quantifying the Regret-Information Trade-off
I Shufaro, N Merlis, N Weinberger, S Mannor
arXiv preprint arXiv:2405.16581, 2024
2024
Multi-armed bandits with guaranteed revenue per arm
D Baudry, N Merlis, MB Molina, H Richard, V Perchet
International Conference on Artificial Intelligence and Statistics, 379-387, 2024
2024
Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics
G Tennenholtz, M Mladenov, N Merlis, RL Axtell, C Boutilier
arXiv preprint arXiv:2305.18333, 2023
2023
Query-Reward Tradeoffs in Multi-Armed Bandits
N Merlis, Y Efroni, S Mannor
arXiv preprint arXiv:2110.05724, 2021
2021
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Articles 1–19