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Learning to Minimise Regret in Route Choice:

, In: Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems,

Ramos, Gabriel de O. ; da Silva, Bruno C. ; Bazzan, Ana L.C. - p. 846-855 , 2017

Link: https://dl.acm.org/doi/10.5555/3091125.3091244

RT 
T1 <cTitle>Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems</cTitle>: T1 <Title>Learning to Minimise Regret in Route Choice</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3091244&Exemplar=1&LAN=DE
				
A1 Ramos, Gabriel de O.
A1 da Silva, Bruno C.
A1 Bazzan, Ana L.C.
PB International Foundation for Autonomous Agents and Multiagent Systems
YR 2017
K1 action regret
K1 multiagent reinforcement learning
K1 regret estimation
K1 regret minimisation
K1 route choice
K1 user equilibrium
K1 Computing methodologies
K1 Machine learning
K1 Learning paradigms
K1 Reinforcement learning
K1 Multi-agent reinforcement learning
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Artificial intelligence
K1 Distributed artificial intelligence
K1 Multi-agent systems
K1 Algorithmic game theory and mechanism design
K1 Exact and approximate computation of equilibria
K1 Convergence and learning in games
SP 846
OP 855
LK http://dx.doi.org/https://dl.acm.org/doi/10.5555/3091125.3091244
DO https://dl.acm.org/doi/10.5555/3091125.3091244
SF ELIB - SuUB Bremen

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