Scholar
Tal Kachman
Google Scholar ID: 90dDCssAAAAJ
Radboud University
Machine Learning
Deep Learning
Game Theory
Complexity Theory
Quantum machine learning
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Citations & Impact
All-time
Citations
672
H-index
9
i10-index
9
Publications
20
Co-authors
12
list available
Publications
5 items
Neural Parameter Calibration for Finite-State Mean Field Games
2026
Cited
0
David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning
2026
Cited
0
Going with the Flow: Approximating Banzhaf Values via Graph Neural Networks
2025
Cited
0
Modelling Mean-Field Games with Neural Ordinary Differential Equations
2025
Cited
0
InfluenceNet: AI Models for Banzhaf and Shapley Value Prediction
2025
Cited
0
Resume
Background
Explores the intersection of intelligence and complexity
Focuses on multiagent systems, reinforcement learning, and complex systems
Bridges artificial intelligence and theoretical foundations
Studies how intelligent systems learn, adapt, and interact in complex environments
Fascinated by mathematical structures underlying learning and decision-making, from classical to quantum machine learning
Co-authors
8 total
Alexia Jolicoeur-Martineau
Samsung - SAIT AI Lab Montreal
Ke Li
Simon Fraser University
Ioannis (Yannis) Mitliagkas
Associate Professor at Mila, University of Montréal
Yoram Bachrach
Meta (FAIR)
John Gunnels
NVIDIA Corporation
Nils Jansen
Professor of Artificial Intelligence and Formal Methods, Ruhr-University Bochum
Jakob Foerster
Associate Professor, University of Oxford
Jonathan Lorraine
Research Scientist, NVIDIA; PhD, University of Toronto