Scholar
Rafał Kucharski
Google Scholar ID: z3bOMUAAAAAJ
Jagiellonian University - Group of Machine Learning Methods
urban mobility
transportation research
reinforcement learning
game theory
user equilibrium
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Citations & Impact
All-time
Citations
949
H-index
16
i10-index
19
Publications
20
Co-authors
25
list available
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No contact links provided.
Publications
11 items
Market share maximizing strategies of CAV fleet operators may cause chaos in our cities
2025
Cited
0
Equilibria in routing games with connected autonomous vehicles will not be strong, as exclusive clubs may form
2025
Cited
0
Autonomous vehicles need social awareness to find optima in multi-agent reinforcement learning routing games
2025
Cited
0
Impact of Collective Behaviors of Autonomous Vehicles on Urban Traffic Dynamics: A Multi-Agent Reinforcement Learning Approach
2025
Cited
0
Balancing Profit and Traveller Acceptance in Ride-Pooling Personalised Fares
2025
Cited
0
Wardropian Cycles make traffic assignment both optimal and fair by eliminating price-of-anarchy with Cyclical User Equilibrium for compliant connected autonomous vehicles
2025
Cited
0
Detection of coordinated fleet vehicles in route choice urban games. Part I. Inverse fleet assignment theory
2025
Cited
0
URB -- Urban Routing Benchmark for RL-equipped Connected Autonomous Vehicles
2025
Cited
0
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Resume (English only)
Co-authors
25 total
Oded Cats
Professor, Delft University of Technology (TU Delft)
Co-author 2
Co-author 3
Co-author 4
Co-author 5
Co-author 6
Ahmet Onur Akman
Jagiellonian University
Co-author 8
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