Gal Dalal

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Reinforcement Learning

Policy Gradient

Top Venues

Publications

Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR (2024)
David Valensi, Esther Derman, Shie Mannor, Gal Dalal
Tree Search-Based Policy Optimization under Stochastic Execution Delay. ICLR (2024)
Benjamin Fuhrer, Chen Tessler, Gal Dalal
Gradient Boosting Reinforcement Learning. CoRR (2024)
Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
PlaMo: Plan and Move in Rich 3D Physical Environments. CoRR (2024)
David Valensi, Esther Derman, Shie Mannor, Gal Dalal
Tree Search-Based Policy Optimization under Stochastic Execution Delay. CoRR (2024)
Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR (2023)
Assaf Hallak, Gal Dalal
On the Products of Stochastic and Diagonal Matrices. CoRR (2023)
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
Planning and Learning with Adaptive Lookahead. AAAI (2023)
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)
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)
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) (2022)
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)
Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR (2022)
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, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. ICLR (2022)
Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
Reinforcement Learning with a Terminator. CoRR (2022)
Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik
SoftTreeMax: Policy Gradient with Tree Search. CoRR (2022)
Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
Planning and Learning with Adaptive Lookahead. CoRR (2022)
Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
Reinforcement Learning for Datacenter Congestion Control. CoRR (2021)
Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR (2021)
Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. CoRR (2021)
Esther Derman, Gal Dalal, Shie Mannor
Acting in Delayed Environments with Non-Stationary Markov Policies. ICLR (2021)
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)
Esther Derman, Gal Dalal, Shie Mannor
Acting in Delayed Environments with Non-Stationary Markov Policies. CoRR (2021)
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 (2020)
Gal Dalal, Balázs Szörényi, Gugan Thoppe
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. AAAI (2020)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
How to Combine Tree-Search Methods in Reinforcement Learning. AAAI (2019)
Gal Dalal, Balázs Szörényi, Gugan Thoppe
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. CoRR (2019)
Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT (2018)
Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa
Safe Exploration in Continuous Action Spaces. CoRR (2018)
Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel
Chance-Constrained Outage Scheduling using a Machine Learning Proxy. CoRR (2018)
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
Finite Sample Analyses for TD(0) With Function Approximation. AAAI (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
How to Combine Tree-Search Methods in Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS (2018)
Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR (2018)
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning. CoRR (2017)
Raphaël Canyasse, Gal Dalal, Shie Mannor
Supervised learning for optimal power flow as a real-time proxy. ISGT (2017)
Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
Finite Sample Analysis for TD(0) with Linear Function Approximation. CoRR (2017)
Gal Dalal, Elad Gilboa, Shie Mannor
Hierarchical Decision Making In Electricity Grid Management. CoRR (2016)
Raphaël Canyasse, Gal Dalal, Shie Mannor
Supervised Learning for Optimal Power Flow as a Real-Time Proxy. CoRR (2016)
Gal Dalal, Elad Gilboa, Shie Mannor
Distributed scenario-based optimization for asset management in a hierarchical decision making environment. PSCC (2016)
Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel
Unit Commitment using Nearest Neighbor as a Short-Term Proxy. CoRR (2016)
Gal Dalal, Elad Gilboa, Shie Mannor
Distributed Scenario-Based Optimization for Asset Management in a Hierarchical Decision Making Environment. CoRR (2016)
Gal Dalal, Elad Gilboa, Shie Mannor
Hierarchical Decision Making In Electricity Grid Management. ICML (2016)
Gal Dalal, Shie Mannor
Reinforcement Learning for the Unit Commitment Problem. CoRR (2015)