Gal Dalal

According to our database, Gal Dalal authored at least 29 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization.

Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant

CoRR, 2024

2023

On the Products of Stochastic and Diagonal Matrices.

Assaf Hallak, Gal Dalal

CoRR, 2023

SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search.

Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik

CoRR, 2023

Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs.

Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

Planning and Learning with Adaptive Lookahead.

Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reinforcement Learning for Datacenter Congestion Control.

Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor

SIGMETRICS Perform. Evaluation Rev., 2022

SoftTreeMax: Policy Gradient with Tree Search.

Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik

CoRR, 2022

Reinforcement Learning with a Terminator.

Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning.

Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction.

Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Acting in Delayed Environments with Non-Stationary Markov Policies.

Esther Derman, Gal Dalal, Shie Mannor

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems.

Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu

CoRR, 2020

A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound.

Gal Dalal, Balázs Szörényi, Gugan Thoppe

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

How to Combine Tree-Search Methods in Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

CoRR, 2018

Safe Exploration in Continuous Action Spaces.

Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa

CoRR, 2018

Chance-Constrained Outage Scheduling using a Machine Learning Proxy.

Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel

CoRR, 2018

Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Beyond the One-Step Greedy Approach in Reinforcement Learning.

Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

Proceedings of the 35th International Conference on Machine Learning, 2018

Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning.

Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor

Proceedings of the Conference On Learning Theory, 2018

Finite Sample Analyses for TD(0) With Function Approximation.

Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Finite Sample Analysis for TD(0) with Linear Function Approximation.

Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

CoRR, 2017

Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning.

Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

CoRR, 2017

Supervised learning for optimal power flow as a real-time proxy.

Raphaël Canyasse, Gal Dalal, Shie Mannor

Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2017

Anomaly Detection in Large Databases Using Behavioral Patterning.

Hanna Mazzawi, Gal Dalal, David Rozenblat, Liat Ein-Dor, Matan Ninio, Ofer Lavi, Allon Adir, Ehud Aharoni, Einat Kermany

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Unit Commitment using Nearest Neighbor as a Short-Term Proxy.

Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel

CoRR, 2016

Distributed scenario-based optimization for asset management in a hierarchical decision making environment.

Gal Dalal, Elad Gilboa, Shie Mannor

Proceedings of the Power Systems Computation Conference, 2016

Hierarchical Decision Making In Electricity Grid Management.

Gal Dalal, Elad Gilboa, Shie Mannor

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Reinforcement Learning for the Unit Commitment Problem.

Gal Dalal, Shie Mannor

CoRR, 2015