Gal Dalal - RankMe

57 papers A* 19B 1Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	More Test-Time Compute Can Hurt: Overestimation Bias in LLM Beam Search. CoRR Gal Dalal, Assaf Hallak, Gal Chechik, Yftah Ziser
2025	A*	`conf`	Gradient Boosting Reinforcement Learning. ICML Benjamin Fuhrer, Chen Tessler, Gal Dalal
2025	A*	`conf`	Policy Gradient with Tree Expansion. ICML Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2025	A*	`conf`	Reinforcement Learning with Segment Feedback. ICML Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2025	J	`jnl`	Reinforcement Learning with Segment Feedback. CoRR Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2025	J	`jnl`	Reliable Critics: Monotonic Improvement and Convergence Guarantees for Reinforcement Learning. CoRR Eshwar S. R, Gugan Thoppe, Aditya Gopalan, Gal Dalal
2025	J	`jnl`	Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations. CoRR S. R. Eshwar, Aniruddha Mukherjee, Kintan Saha, Krishna Agarwal, Gugan Thoppe, Aditya Gopalan, Gal Dalal
2024	A*	`conf`	Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. ICML Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	J	`jnl`	Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization. CoRR Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant
2024	J	`jnl`	Gradient Boosting Reinforcement Learning. CoRR Benjamin Fuhrer, Chen Tessler, Gal Dalal
2024	—	`conf`	PlaMo: Plan and Move in Rich 3D Physical Environments. ECCV Workshops (2) Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024	J	`jnl`	PlaMo: Plan and Move in Rich 3D Physical Environments. CoRR Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik
2024	A*	`conf`	Tree Search-Based Policy Optimization under Stochastic Execution Delay. ICLR David Valensi, Esther Derman, Shie Mannor, Gal Dalal
2024	J	`jnl`	Tree Search-Based Policy Optimization under Stochastic Execution Delay. CoRR David Valensi, Esther Derman, Shie Mannor, Gal Dalal
2023	—	`conf`	AutoScratch: ML-Optimized Cache Management for Inference-Oriented GPUs. MLSys Yaosheng Fu, Evgeny Bolotin, Aamer Jaleel, Gal Dalal, Shie Mannor, Jacob Subag, Noam Korem, Michael Behar, David W. Nellans
2023	B	`conf`	Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CCGrid Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2023	J	`jnl`	On the Products of Stochastic and Diagonal Matrices. CoRR Assaf Hallak, Gal Dalal
2023	A*	`conf`	Planning and Learning with Adaptive Lookahead. AAAI Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
2023	J	`jnl`	SoftTreeMax: Exponential Variance Reduction in Policy Gradient via Tree Search. CoRR Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik
2022	J	`jnl`	Implementing Reinforcement Learning Datacenter Congestion Control in NVIDIA NICs. CoRR Benjamin Fuhrer, Yuval Shpigelman, Chen Tessler, Shie Mannor, Gal Chechik, Eitan Zahavi, Gal Dalal
2022	A*	`conf`	On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. ICLR Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
2022	J	`jnl`	Planning and Learning with Adaptive Lookahead. CoRR Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal
2022	A*	`conf`	Reinforcement Learning for Datacenter Congestion Control. AAAI Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022	J	`jnl`	Reinforcement Learning for Datacenter Congestion Control. SIGMETRICS Perform. Evaluation Rev. Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2022	A*	`conf`	Reinforcement Learning with a Terminator. NeurIPS Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2022	J	`jnl`	Reinforcement Learning with a Terminator. CoRR Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal
2022	J	`jnl`	SoftTreeMax: Policy Gradient with Tree Search. CoRR Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik
2021	A*	`conf`	Acting in Delayed Environments with Non-Stationary Markov Policies. ICLR Esther Derman, Gal Dalal, Shie Mannor
2021	J	`jnl`	Acting in Delayed Environments with Non-Stationary Markov Policies. CoRR Esther Derman, Gal Dalal, Shie Mannor
2021	A*	`conf`	Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. NeurIPS Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
2021	J	`jnl`	Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction. CoRR Assaf Hallak, Gal Dalal, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik
2021	J	`jnl`	On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning. CoRR Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit
2021	J	`jnl`	Reinforcement Learning for Datacenter Congestion Control. CoRR Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor
2020	A*	`conf`	A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. AAAI Gal Dalal, Balázs Szörényi, Gugan Thoppe
2020	J	`jnl`	The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems. CoRR Ahmet Fatih Inci, Evgeny Bolotin, Yaosheng Fu, Gal Dalal, Shie Mannor, David W. Nellans, Diana Marculescu
2019	J	`jnl`	A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe
2019	A*	`conf`	How to Combine Tree-Search Methods in Reinforcement Learning. AAAI Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Beyond the One Step Greedy Approach in Reinforcement Learning. CoRR Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	A*	`conf`	Beyond the One-Step Greedy Approach in Reinforcement Learning. ICML Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Chance-Constrained Outage Scheduling using a Machine Learning Proxy. CoRR Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel
2018	A*	`conf`	Finite Sample Analyses for TD(0) With Function Approximation. AAAI Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2018	A*	`conf`	Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning. COLT Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor
2018	J	`jnl`	How to Combine Tree-Search Methods in Reinforcement Learning. CoRR Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	A*	`conf`	Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning. NeurIPS Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning. CoRR Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor
2018	J	`jnl`	Safe Exploration in Continuous Action Spaces. CoRR Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa
2017	A*	`conf`	Anomaly Detection in Large Databases Using Behavioral Patterning. ICDE Hanna Mazzawi, Gal Dalal, David Rozenblat, Liat Ein-Dor, Matan Ninio, Ofer Lavi, Allon Adir, Ehud Aharoni, Einat Kermany
2017	J	`jnl`	Concentration Bounds for Two Timescale Stochastic Approximation with Applications to Reinforcement Learning. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2017	J	`jnl`	Finite Sample Analysis for TD(0) with Linear Function Approximation. CoRR Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor
2017	—	`conf`	Supervised learning for optimal power flow as a real-time proxy. ISGT Raphaël Canyasse, Gal Dalal, Shie Mannor
2016	J	`jnl`	Distributed Scenario-Based Optimization for Asset Management in a Hierarchical Decision Making Environment. CoRR Gal Dalal, Elad Gilboa, Shie Mannor
2016	—	`conf`	Distributed scenario-based optimization for asset management in a hierarchical decision making environment. PSCC Gal Dalal, Elad Gilboa, Shie Mannor
2016	A*	`conf`	Hierarchical Decision Making In Electricity Grid Management. ICML Gal Dalal, Elad Gilboa, Shie Mannor
2016	J	`jnl`	Hierarchical Decision Making In Electricity Grid Management. CoRR Gal Dalal, Elad Gilboa, Shie Mannor
2016	J	`jnl`	Supervised Learning for Optimal Power Flow as a Real-Time Proxy. CoRR Raphaël Canyasse, Gal Dalal, Shie Mannor
2016	J	`jnl`	Unit Commitment using Nearest Neighbor as a Short-Term Proxy. CoRR Gal Dalal, Elad Gilboa, Shie Mannor, Louis Wehenkel
2015	J	`jnl`	Reinforcement Learning for the Unit Commitment Problem. CoRR Gal Dalal, Shie Mannor