Dalal, Gal

21 publications

ICML 2025 Gradient Boosting Reinforcement Learning Benjamin Fuhrer, Chen Tessler, Gal Dalal

ICML 2025 Policy Gradient with Tree Expansion Gal Dalal, Assaf Hallak, Gugan Thoppe, Shie Mannor, Gal Chechik

ICML 2025 Reinforcement Learning with Segment Feedback Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant

ICML 2024 Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization Yihan Du, Anna Winnicki, Gal Dalal, Shie Mannor, R. Srikant

ECCVW 2024 PlaMo: Plan and Move in Rich 3D Physical Environments Assaf Hallak, Gal Dalal, Chen Tessler, Kelly Guo, Shie Mannor, Gal Chechik

ICLR 2024 Tree Search-Based Policy Optimization Under Stochastic Execution Delay David Valensi, Esther Derman, Shie Mannor, Gal Dalal

AAAI 2023 Planning and Learning with Adaptive Lookahead Aviv Rosenberg, Assaf Hallak, Shie Mannor, Gal Chechik, Gal Dalal

ICLR 2022 On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit

AAAI 2022 Reinforcement Learning for Datacenter Congestion Control Chen Tessler, Yuval Shpigelman, Gal Dalal, Amit Mandelbaum, Doron Haritan Kazakov, Benjamin Fuhrer, Gal Chechik, Shie Mannor

NeurIPS 2022 Reinforcement Learning with a Terminator Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal

NeurIPSW 2022 SoftTreeMax: Policy Gradient with Tree Search Gal Dalal, Assaf Hallak, Shie Mannor, Gal Chechik

ICLR 2021 Acting in Delayed Environments with Non-Stationary Markov Policies Esther Derman, Gal Dalal, Shie Mannor

NeurIPSW 2021 Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning Guy Tennenholtz, Assaf Hallak, Gal Dalal, Shie Mannor, Gal Chechik, Uri Shalit

NeurIPS 2021 Improve Agents Without Retraining: Parallel Tree Search with Off-Policy Correction Gal Dalal, Assaf Hallak, Steven Dalton, Iuri Frosio, Shie Mannor, Gal Chechik

AAAI 2020 A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound Gal Dalal, Balázs Szörényi, Gugan Thoppe

AAAI 2019 How to Combine Tree-Search Methods in Reinforcement Learning Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

ICML 2018 Beyond the One-Step Greedy Approach in Reinforcement Learning Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

AAAI 2018 Finite Sample Analyses for TD(0) with Function Approximation Gal Dalal, Balázs Szörényi, Gugan Thoppe, Shie Mannor

COLT 2018 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning Gal Dalal, Gugan Thoppe, Balázs Szörényi, Shie Mannor

NeurIPS 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning Yonathan Efroni, Gal Dalal, Bruno Scherrer, Shie Mannor

ICML 2016 Hierarchical Decision Making in Electricity Grid Management Gal Dalal, Elad Gilboa, Shie Mannor