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← Authors

Gal Dalal

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

Achievements

Jump to papers ↓
+11 more ↓ 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (9)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (15) 🏆 Keyword Champion (2) 🏆 Grand Slam 🧬 Topic Evolution 🔥 Unstoppable (8) 📈 Trend Setter 🗃️ Keyword Collector (54) 🚀 Conference Pioneer 💎 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