On-line learning and the metrical task system problem
COLT '97 Proceedings of the tenth annual conference on Computational learning theory
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
Gradient descent for general reinforcement learning
Proceedings of the 1998 conference on Advances in neural information processing systems II
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Convergence of Gradient Dynamics with a Variable Learning Rate
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Nash Convergence of Gradient Dynamics in General-Sum Games
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Multiagent learning using a variable learning rate
Artificial Intelligence
A multiagent reinforcement learning algorithm using extended optimal response
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Altruistic Agents in Dynamic Games
SBIA '02 Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advances in Artificial Intelligence
Towards a pareto-optimal solution in general-sum games
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Coordination in multiagent reinforcement learning: a Bayesian approach
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Automated index management for distributed web search
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Best-Response Multiagent Learning in Non-Stationary Environments
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Run the GAMUT: A Comprehensive Approach to Evaluating Game-Theoretic Algorithms
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Efficient learning equilibrium
Artificial Intelligence
Cooperative Multi-Agent Learning: The State of the Art
Autonomous Agents and Multi-Agent Systems
If multi-agent learning is the answer, what is the question?
Artificial Intelligence
Generalized multiagent learning with performance bound
Autonomous Agents and Multi-Agent Systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
Online Multiagent Learning against Memory Bounded Adversaries
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Opportunities for multiagent systems and multiagent reinforcement learning in traffic control
Autonomous Agents and Multi-Agent Systems
COOPERATIVE LEARNING BY POLICY-SHARING IN MULTIPLE AGENTS
Cybernetics and Systems
Learning equilibria in repeated congestion games
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Multiagent learning in large anonymous games
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Learning of coordination: exploiting sparse interactions in multiagent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Self-organising agent organisations
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
As Safe As It Gets: Near-Optimal Learning in Multi-Stage Games with Imperfect Monitoring
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Performance bounded reinforcement learning in strategic interactions
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Optimal efficient learning equilibrium: imperfect monitoring in symmetric games
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning equilibrium in resource selection games
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Learning to Coordinate Efficiently: a model-based approach
Journal of Artificial Intelligence Research
Accelerating reinforcement learning through implicit imitation
Journal of Artificial Intelligence Research
Heuristic selection of actions in multiagent reinforcement learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
vBattle: a new framework to simulate medium-scale battles in individual-per-individual basis
CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games
Information Systems Research
Cooperation between multiple agents based on partially sharing policy
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Adaptation in games with many co-evolving agents
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Convergence of independent adaptive learners
EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence
Learning hybridization strategies in evolutionary algorithms
Intelligent Data Analysis
Coordinated learning in multiagent MDPs with infinite state-space
Autonomous Agents and Multi-Agent Systems
Evaluating Q-learning policies for multi-objective foraging task in a multi-agent environment
ICIRA'10 Proceedings of the Third international conference on Intelligent robotics and applications - Volume Part II
Multiagent learning in large anonymous games
Journal of Artificial Intelligence Research
Overcoming Omniscience in Axelrod's Model
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Value function approximation in zero-sum markov games
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Exploiting based pre-testing in competition environment
PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
Decentralized approaches for self-adaptation in agent organizations
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
An overview of cooperative and competitive multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
Unifying convergence and no-regret in multiagent learning
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
The success and failure of tag-mediated evolution of cooperation
LAMAS'05 Proceedings of the First international conference on Learning and Adaption in Multi-Agent Systems
A probability collectives approach with a feasibility-based rule for constrained optimization
Applied Computational Intelligence and Soft Computing
On fairness and learning agents in a bargaining model with uncertainty
Cognitive Systems Research
A new hyper-heuristic as a general problem solver: an implementation in HyFlex
Journal of Scheduling
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Multiagent learning in the presence of memory-bounded agents
Autonomous Agents and Multi-Agent Systems
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Extracting rules from RBFs is not a trivial task because of nonlinear functions or high input dimensionality. In such cases, some of the hidden units of the RBF network have a tendency to be "shared" across several output classes or even may not contribute ...