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Gal Dalal

17 papers · 2016–2025 · 5 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (13) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (15) πŸ† Keyword Champion (2) πŸ† Grand Slam 🧬 Topic Evolution πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (54) πŸš€ Conference Pioneer πŸ’Ž Century Club (17)

Conferences

ICML (6) AAAI (4) ICLR (3) NIPS (3) COLT (1)

Top co-authors

Shie Mannor (15) Gal Chechik (6) Assaf Hallak (5) Yonathan Efroni (3) Bruno Scherrer (3) Gugan Thoppe (3) Yihan Du (2) Guy Tennenholtz (2) Benjamin Fuhrer (2) R. Srikant (2)

Keywords

reinforcement learning (7) policy improvement (3) policy iteration (2) value function approximation (2) temporal difference learning (2) value function (2) stochastic approximation (2) tree search (2) convergence rate (2) value estimation (2) policy gradient (1) markov decision process (1) value iteration (1) online learning (1) model predictive control (1) policy learning (1) policy evaluation (1) distribution shift (1) approximate dynamic programming (1) autonomous driving (1)

Papers

Gradient Boosting Reinforcement Learning ICML 2025
Reinforcement Learning with Segment Feedback ICML 2025
Policy Gradient with Tree Expansion ICML 2025
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization ICML 2024
Tree Search-Based Policy Optimization under Stochastic Execution Delay ICLR 2024
Planning and Learning with Adaptive Lookahead AAAI 2023
Reinforcement Learning for Datacenter Congestion Control AAAI 2022
Reinforcement Learning with a Terminator NIPS 2022
On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022
Acting in Delayed Environments with Non-Stationary Markov Policies ICLR 2021
Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NIPS 2021
A Tale of Two-Timescale Reinforcement Learning with the Tightest Finite-Time Bound AAAI 2020
How to Combine Tree-Search Methods in Reinforcement Learning AAAI 2019
Beyond the One-Step Greedy Approach in Reinforcement Learning ICML 2018
Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NIPS 2018
Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018
Hierarchical Decision Making In Electricity Grid Management ICML 2016