Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Karlsruhe Brainstormers - A Reinforcement Learning Approach to Robotic Soccer
RoboCup 2000: Robot Soccer World Cup IV
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
Programming Multi-Agent Systems in AgentSpeak using Jason (Wiley Series in Agent Technology)
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
Learning context conditions for BDI plan selection
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Extending BDI plan selection to incorporate learning from experience
Robotics and Autonomous Systems
Learning in BDI multi-agent systems
CLIMA IV'04 Proceedings of the 4th international conference on Computational Logic in Multi-Agent Systems
Reinforcement learning as heuristic for action-rule preferences
ProMAS'10 Proceedings of the 8th international conference on Programming Multi-Agent Systems
Enhancing the Adaptation of BDI Agents Using Learning Techniques
International Journal of Agent Technologies and Systems
Declarative planning in procedural agent architectures
Expert Systems with Applications: An International Journal
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We propose a framework that adds learning for improving plan selection in the popular BDI agent programming paradigm. In contrast with previous proposals, the approach given here is able to scale up well with the complexity of the agent's plan library. Technically, we develop a novel confidence measure which allows the agent to adjust its reliance on the learning dynamically, facilitating in principle infinitely many (re)learning phases. We demonstrate the benefits of the approach in an example controller for energy management.