Technical Note: \cal Q-Learning
Machine Learning
Temporal difference learning and TD-Gammon
Communications of the ACM
Heterogeneous multi-robot cooperation
Heterogeneous multi-robot cooperation
Learning in multiagent systems
Multiagent systems
Forgetting Exceptions is Harmful in Language Learning
Machine Learning - Special issue on natural language learning
Machine Learning - Special issue on inducive logic programming
Intelligent Information Agents: Agent-Based Information Discovery and Management on the Internet
Intelligent Information Agents: Agent-Based Information Discovery and Management on the Internet
Imprecise and Approximate Computation
Imprecise and Approximate Computation
Machine Learning
Artificial Societies: The Computer Simulation of Social Life
Artificial Societies: The Computer Simulation of Social Life
Machine Learning and Data Mining; Methods and Applications
Machine Learning and Data Mining; Methods and Applications
Learning Logical Definitions from Relations
Machine Learning
Explanation-Based Generalization: A Unifying View
Machine Learning
Active Learning for Natural Language Parsing and Information Extraction
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Relational Reinforcement Learning
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Using ILP-Systems for Verification and Validation of Multi-agent Systems
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
ILP '99 Proceedings of the 9th International Workshop on Inductive Logic Programming
Using ILP to Improve Planning in Hierarchical Reinforcement Learning
ILP '00 Proceedings of the 10th International Conference on Inductive Logic Programming
Journal of Artificial Intelligence Research
Induction of first-order decision lists: results on learning the past tense of English verbs
Journal of Artificial Intelligence Research
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Learning to coordinate actions in multi-agent systems
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
Scaling up: distributed machine learning with cooperation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A stochastic process formulation of learning in cooperative agents
Multiagent and Grid Systems - Innovations in intelligent agent technology
Collaborative inductive logic programming for path planning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Collaborative learning with logic-based models
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
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Learning is a crucial ability of intelligent agents. Rather than presenting a complete literature review, we focus in this paper on important issues surrounding the application of machine learning (ML) techniques to agents and multi-agent systems (MAS). In this discussion we move from disembodied ML over single-agent learning to full multi-agent learning. In the second part of the paper we focus on the application of Inductive Logic Programming, a knowledge-based ML technique, to MAS, and present an implemented framework in which multi-agent learning experiments can be carried out.