Skip to content
conftrace_

Gal Dalal

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

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓
+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (25) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (15) 🧬 Topic Evolution πŸ† Grand Slam πŸ† Keyword Champion πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (84) πŸ“ˆ Trend Setter

Venues

ICML (6) AAAI (4) ICLR (3) NeurIPS (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)

Research topics

Reinforcement Learning (15) Machine Learning (13) Methods (13) Learning Types (10) Optimization & Theory (6) Artificial Intelligence (5) Applications (5) Core AI (5) Mathematics & Optimization (1) Application Areas (1) Core Methods (1) Optimization (1)

Keywords

reinforcement learning (9) policy improvement (3) markov decision process (3) policy iteration (3) temporal difference learning (2) policy learning (2) convergence rate (2) policy optimization (2) value estimation (2) policy gradient (2) distribution shift (2) regret bound (2) value function (2) tree search (2) stochastic approximation (2) monte carlo tree search (2) value function approximation (2) model predictive control (1) policy evaluation (1) autonomous driving (1)

Papers

Gradient Boosting Reinforcement Learning ICML 2025 Policy Gradient with Tree Expansion ICML 2025 Reinforcement Learning with Segment Feedback 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 On Covariate Shift of Latent Confounders in Imitation and Reinforcement Learning ICLR 2022 Reinforcement Learning for Datacenter Congestion Control AAAI 2022 Reinforcement Learning with a Terminator NeurIPS 2022 Acting in Delayed Environments with Non-Stationary Markov Policies ICLR 2021 Improve Agents without Retraining: Parallel Tree Search with Off-Policy Correction NeurIPS 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 Finite Sample Analysis of Two-Timescale Stochastic Approximation with Applications to Reinforcement Learning COLT 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Hierarchical Decision Making In Electricity Grid Management ICML 2016