Proceedings of the seventh international conference (1990) on Machine learning
Technical Note: \cal Q-Learning
Machine Learning
Agent-oriented traffic simulation
Transactions of the Society for Computer Simulation International - Special issue: multi-agent systems and simulation
The dynamics of reinforcement learning in cooperative multiagent systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
MABS 2000 Proceedings of the second international workshop on Multi-agent based simulation
Multi agent simulation of unorganized traffic
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Multiple model-based reinforcement learning
Neural Computation
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Multi-Agent Reinforcement Leraning for Traffic Light Control
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Selection of information types based on personal utility: a testbed for traffic information markets
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
A Multiagent System for Optimizing Urban Traffic
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Towards Truly Agent-Based Traffic and Mobility Simulations
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Multiagent Traffic Management: A Reservation-Based Intersection Control Mechanism
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Learning from Multiple Sources
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A Distributed Approach for Coordination of Traffic Signal Agents
Autonomous Agents and Multi-Agent Systems
Towards a behavioural traffic monitoring system
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Using cooperative mediation to coordinate traffic lights: a case study
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multiagent traffic management: an improved intersection control mechanism
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
An Evolutionary Dynamical Analysis of Multi-Agent Learning in Iterated Games
Autonomous Agents and Multi-Agent Systems
Dealing with non-stationary environments using context detection
ICML '06 Proceedings of the 23rd international conference on Machine learning
Congestion tolls as utility alignment between agent and system optimum
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Learning against multiple opponents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Multiagent learning is not the answer. It is the question
Artificial Intelligence
What evolutionary game theory tells us about multiagent learning
Artificial Intelligence
Aligning social welfare and agent preferences to alleviate traffic congestion
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Learning and multiagent reasoning for autonomous agents
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Sharing the road: autonomous vehicles meet human drivers
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Rational and convergent learning in stochastic games
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Adaptation in games with many co-evolving agents
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
To adapt or not to adapt: consequences of adapting driver and traffic light agents
ALAMAS'05/ALAMAS'06/ALAMAS'07 Proceedings of the 5th , 6th and 7th European conference on Adaptive and learning agents and multi-agent systems: adaptation and multi-agent learning
Traffic lights control with adaptive group formation based on swarm intelligence
ANTS'06 Proceedings of the 5th international conference on Ant Colony Optimization and Swarm Intelligence
Multiagent traffic management: opportunities for multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
A market-inspired approach to reservation-based urban road traffic management
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Learning in groups of traffic signals
Engineering Applications of Artificial Intelligence
Improving space representation in multiagent learning via tile coding
SBIA'10 Proceedings of the 20th Brazilian conference on Advances in artificial intelligence
Learning dynamic adaptation strategies in agent-based traffic simulation experiments
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
Collaborative Agents for Modeling Traffic Regulation Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
TaxiSim: A Multiagent Simulation Platform for Evaluating Taxi Fleet Operations
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
The effect of congestion frequency and saturation on coordinated traffic routing
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
Holonic multi-agent system for traffic signals control
Engineering Applications of Artificial Intelligence
iCO2: multi-user eco-driving training environment based on distributed constraint optimization
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Optimal pricing for improving efficiency of taxi systems
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Engineering Applications of Artificial Intelligence
Hierarchical control of traffic signals using Q-learning with tile coding
Applied Intelligence
| Hi-index | 0.00 |
The increasing demand for mobility in our society poses various challenges to traffic engineering, computer science in general, and artificial intelligence and multiagent systems in particular. As it is often the case, it is not possible to provide additional capacity, so that a more efficient use of the available transportation infrastructure is necessary. This relates closely to multiagent systems as many problems in traffic management and control are inherently distributed. Also, many actors in a transportation system fit very well the concept of autonomous agents: the driver, the pedestrian, the traffic expert; in some cases, also the intersection and the traffic signal controller can be regarded as an autonomous agent. However, the "agentification" of a transportation system is associated with some challenging issues: the number of agents is high, typically agents are highly adaptive, they react to changes in the environment at individual level but cause an unpredictable collective pattern, and act in a highly coupled environment. Therefore, this domain poses many challenges for standard techniques from multiagent systems such as coordination and learning. This paper has two main objectives: (i) to present problems, methods, approaches and practices in traffic engineering (especially regarding traffic signal control); and (ii) to highlight open problems and challenges so that future research in multiagent systems can address them.