Technical Note: \cal Q-Learning
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
On the relationship between MDPs and the BDI architecture
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Modeling dynamic environments in multi-agent simulation
Autonomous Agents and Multi-Agent Systems
INGENIAS development kit: a visual multi-agent system development environment
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: demo papers
Exploiting structure in policy construction
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
An algorithmic game theory study of wholesale electricity markets based on central auction
Integrated Computer-Aided Engineering - Multi-Agent Systems for Energy Management
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This paper presents the multi-agent TEMMAS simulator of an artificial electric power market populated with learning agents. The simulator facilitates the integration of two modeling constructs: i) the specification of the environmental physical market properties, and ii) the modeling of the decision-making (deliberative) and reactive agents.