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ORCIDGal Dalal
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Journal Articles
- 2022
[j1]Chen Tessler
, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. 49(2): 43-46 (2022)
Conference and Workshop Papers
- 2024
- [c20]David Valensi, Esther Derman, Shie Mannor, Gal Dalal:
Tree Search-Based Policy Optimization under Stochastic Execution Delay. ICLR 2024 - [c19]Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant:
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. ICML 2024 - 2023
- [c18]Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. AAAI 2023: 9606-9613 - [c17]Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal:
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid 2023: 331-343 - [c16]Yaosheng Fu, Evgeny Bolotin, Aamer Jaleel, Gal Dalal, Shie Mannor, Jacob Subag, Noam Korem, Michael Behar, David W. Nellans:
AutoScratch: ML-Optimized Cache Management for Inference-Oriented GPUs. MLSys 2023 - 2022
- [c15]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. AAAI 2022: 12615-12621 - [c14]Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit:
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. ICLR 2022 - [c13]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. NeurIPS 2022 - 2021
- [c12]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. ICLR 2021 - [c11]Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. NeurIPS 2021: 5518-5530 - 2020
- [c10]Gal Dalal, Balázs Szörényi, Gugan Thoppe:
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. AAAI 2020: 3701-3708 - 2019
- [c9]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. AAAI 2019: 3494-3501 - 2018
- [c8]Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
Finite Sample Analyses for TD(0) With Function Approximation. AAAI 2018: 6144-6160 - [c7]Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor:
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT 2018: 1199-1233 - [c6]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML 2018: 1386-1395 - [c5]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS 2018: 5244-5253 - 2017
- [c4]Hanna Mazzawi, Gal Dalal, David Rozenblat, Liat Ein-Dor, Matan Ninio, Ofer Lavi, Allon Adir, Ehud Aharoni, Einat Kermany:
Anomaly Detection in Large Databases Using Behavioral Patterning. ICDE 2017: 1140-1149 - [c3]Raphaël Canyasse, Gal Dalal, Shie Mannor:
Supervised learning for optimal power flow as a real-time proxy. ISGT 2017: 1-5 - 2016
- [c2]Gal Dalal, Elad Gilboa, Shie Mannor:
Hierarchical Decision Making In Electricity Grid Management. ICML 2016: 2197-2206 - [c1]Gal Dalal, Elad Gilboa, Shie Mannor:
Distributed scenario-based optimization for asset management in a hierarchical decision making environment. PSCC 2016: 1-9
Informal and Other Publications
- 2024
- [i28]Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant:
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR abs/2402.10342 (2024) - [i27]David Valensi, Esther Derman, Shie Mannor, Gal Dalal:
Tree Search-Based Policy Optimization under Stochastic Execution Delay. CoRR abs/2404.05440 (2024) - [i26]Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik:
PlaMo: Plan and Move in Rich 3D Physical Environments. CoRR abs/2406.18237 (2024) - [i25]Benjamin Fuhrer, Chen Tessler, Gal Dalal:
Gradient Boosting Reinforcement Learning. CoRR abs/2407.08250 (2024) - 2023
- [i24]Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik:
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR abs/2301.13236 (2023) - [i23]Assaf Hallak, Gal Dalal:
On the Products of Stochastic and Diagonal Matrices. CoRR abs/2304.11634 (2023) - 2022
- [i22]Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal:
Planning and Learning with Adaptive Lookahead. CoRR abs/2201.12403 (2022) - [i21]Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal:
Reinforcement Learning with a Terminator. CoRR abs/2205.15376 (2022) - [i20]Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal:
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR abs/2207.02295 (2022) - [i19]Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik:
SoftTreeMax: Policy Gradient with Tree Search. CoRR abs/2209.13966 (2022) - 2021
- [i18]Esther Derman, Gal Dalal, Shie Mannor:
Acting in Delayed Environments with Non-Stationary Markov Policies. CoRR abs/2101.11992 (2021) - [i17]Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor:
Reinforcement Learning for Datacenter Congestion Control. CoRR abs/2102.09337 (2021) - [i16]Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik:
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR abs/2107.01715 (2021) - [i15]Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit:
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. CoRR abs/2110.06539 (2021) - 2020
- [i14]Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu:
The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR abs/2012.04210 (2020) - 2019
- [i13]Gal Dalal, Balázs Szörényi, Gugan Thoppe:
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. CoRR abs/1911.09157 (2019) - 2018
- [i12]Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel:
Chance-Constrained Outage Scheduling using a Machine Learning Proxy. CoRR abs/1801.00500 (2018) - [i11]Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa:
Safe Exploration in Continuous Action Spaces. CoRR abs/1801.08757 (2018) - [i10]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR abs/1802.03654 (2018) - [i9]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR abs/1805.07956 (2018) - [i8]Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor:
How to Combine Tree-Search Methods in Reinforcement Learning. CoRR abs/1809.01843 (2018) - 2017
- [i7]Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning. CoRR abs/1703.05376 (2017) - [i6]Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor:
Finite Sample Analysis for TD(0) with Linear Function Approximation. CoRR abs/1704.01161 (2017) - 2016
- [i5]Gal Dalal, Elad Gilboa, Shie Mannor:
Distributed Scenario-Based Optimization for Asset Management in a Hierarchical Decision Making Environment. CoRR abs/1602.01958 (2016) - [i4]Gal Dalal, Elad Gilboa, Shie Mannor:
Hierarchical Decision Making In Electricity Grid Management. CoRR abs/1603.01840 (2016) - [i3]Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel:
Unit Commitment using Nearest Neighbor as a Short-Term Proxy. CoRR abs/1611.10215 (2016) - [i2]Raphaël Canyasse, Gal Dalal, Shie Mannor:
Supervised Learning for Optimal Power Flow as a Real-Time Proxy. CoRR abs/1612.06623 (2016) - 2015
- [i1]Gal Dalal, Shie Mannor:
Reinforcement Learning for the Unit Commitment Problem. CoRR abs/1507.05268 (2015)
Coauthor Index
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