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Shie Mannor

Technion - Israel Institute of Technology, Department of Electrical Engineering, Haifa, Israel

25 papers at tracked venues · 24 at CORE A* · active 2024–2025

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Venues

ICML ×9ICLR ×7NeurIPS ×6AAAI ×1CVPR ×1ECCV ×1

Frequent coauthors

Navdeep Kumar
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Uri Gadot
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Mark Kozdoba
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Yihan Du
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Jeongyeol Kwon
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Mirco Mutti
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Itai Shufaro
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Gal Dalal
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Yonatan Ashlag
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Lior Cohen
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Assaf Hallak
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David Valensi
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Papers

  1. A Classification View on Meta Learning Bandits
    ICML 2025 ·
    Mirco Mutti
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  2. Efficient Fairness-Performance Pareto Front Computation
    NeurIPS 2025 ·
    Mark Kozdoba
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  3. Global Convergence of Policy Gradient in Average Reward MDPs
    ICLR 2025 ·
    Navdeep Kumar
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  4. Non-rectangular Robust MDPs with Normed Uncertainty Sets
    NeurIPS 2025 ·
    Navdeep Kumar
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  5. On Bits and Bandits: Quantifying the Regret-Information Trade-off
    ICLR 2025 ·
    Itai Shufaro
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  6. On the Convergence of Single-Timescale Actor-Critic
    NeurIPS 2025 ·
    Navdeep Kumar
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  7. Policy Gradient with Tree Expansion
    ICML 2025 ·
    Gal Dalal
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  8. Policy Optimized Text-to-Image Pipeline Design
    NeurIPS 2025 ·
    Uri Gadot
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  9. RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
    CVPR 2025 ·
    Uri Gadot
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  10. Reinforcement Learning with Segment Feedback
    ICML 2025 ·
    Yihan Du
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  11. State Entropy Regularization for Robust Reinforcement Learning
    NeurIPS 2025 ·
    Yonatan Ashlag
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  12. Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
    ICML 2024 ·
    Uri Gadot
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  13. Efficient Value Iteration for s-rectangular Robust Markov Decision Processes
    ICML 2024 ·
    Navdeep Kumar
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  14. Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
    ICML 2024 ·
    Yihan Du
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  15. Improving Token-Based World Models with Parallel Observation Prediction
    ICML 2024 ·
    Lior Cohen
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  16. Learning the Uncertainty Set in Robust Markov Decision Process
    ICLR 2024 ·
    Navdeep Kumar
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  17. PlaMo: Plan and Move in Rich 3D Physical Environments
    ECCV 2024 ·
    Assaf Hallak
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  18. Policy Gradient for Reinforcement Learning with General Utilities
    ICLR 2024 ·
    Navdeep Kumar
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  19. Policy Gradient with Tree Search (PGTS) in Reinforcement Learning Evades Local Maxima
    ICLR 2024 ·
    Navdeep Kumar
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  20. Prospective Side Information for Latent MDPs
    ICML 2024 ·
    Jeongyeol Kwon
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  21. RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
    NeurIPS 2024 ·
    Jeongyeol Kwon
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  22. Sobolev Space Regularised Pre Density Models
    ICML 2024 ·
    Mark Kozdoba
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  23. Solving Non-rectangular Reward-Robust MDPs via Frequency Regularization
    AAAI 2024 ·
    Uri Gadot
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  24. Towards Faster Global Convergence of Robust Policy Gradient Methods
    ICLR 2024 ·
    Navdeep Kumar
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  25. Tree Search-Based Policy Optimization under Stochastic Execution Delay
    ICLR 2024 ·
    David Valensi
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