Scholar
Idan Lev-Yehudi
Google Scholar ID: 5yuc2i0UkD4C
PhD Student at the Technion Autonomous Systems Program
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Citations
13
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Publications
6
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0
Contact
Email
idanlev@campus.technion.ac.il
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Publications
4 items
Online Robust Planning under Model Uncertainty: A Sample-Based Approach
2025
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0
Value Gradients with Action Adaptive Search Trees in Continuous (PO)MDPs
2025
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0
Anytime Incremental $ ho$POMDP Planning in Continuous Spaces
2025
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0
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
AAAI Conference on Artificial Intelligence · 2023
Cited
6
Resume (English only)
Background
PhD student in the Technion’s Autonomous Systems and Robotics Program
Develops algorithms enabling intelligent systems to plan and act under uncertainty
Focuses on planning in continuous, high-dimensional domains using Partially Observable Markov Decision Processes (POMDPs)
Combines ideas from Monte Carlo Tree Search, reinforcement learning, and gradient-based optimization
Passionate about bridging theoretical insights and real-world deployment of autonomous systems
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Co-authors: 0 (list not available)
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