Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic inference in multiply connected belief networks using loop cutsets
International Journal of Approximate Reasoning
Learning to Perceive and Act by Trial and Error
Machine Learning
Technical Note: \cal Q-Learning
Machine Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-based average reward reinforcement learning
Artificial Intelligence
A tutorial on learning with Bayesian networks
Learning in graphical models
Between MDPs and semi-MDPs: a framework for temporal abstraction in reinforcement learning
Artificial Intelligence
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Learning Bayesian networks from data: an information-theory based approach
Artificial Intelligence
Simulation Approaches to General Probabilistic Inference on Belief Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
UAI '89 Proceedings of the Fifth Annual Conference on Uncertainty in Artificial Intelligence
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
On the Rationality of Profit Sharing in Multi-Agent Reinforcement Learning
ICCIMA '01 Proceedings of the Fourth International Conference on Computational Intelligence and Multimedia Applications
Agent Orientated Annotation in Model Based Visual Surveillance
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A generic architecture for adaptive agents based on reinforcement learning
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Bio-inspired systems (BIS)
PEXIS: Probabilistic experience representation based adaptive interaction system for personal robots
Systems and Computers in Japan
International Journal of Intelligent Systems - Uncertainty Processing
Probabilistic policy reuse in a reinforcement learning agent
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
On the Convergence of Loopy Belief Propagation Algorithm for Different Update Rules
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Learning Bayesian Networks
Information Sciences: an International Journal
A fuzzy Actor-Critic reinforcement learning network
Information Sciences: an International Journal
Autonomous and fast robot learning through motivation
Robotics and Autonomous Systems
Adaptive evolutionary programming based on reinforcement learning
Information Sciences: an International Journal
BayesChess: A computer chess program based on Bayesian networks
Pattern Recognition Letters
The BATmobile: towards a Bayesian automated taxi
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Planning and acting in partially observable stochastic domains
Artificial Intelligence
Loopy belief propagation for approximate inference: an empirical study
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Learning the structure of dynamic probabilistic networks
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Adaptive stock trading with dynamic asset allocation using reinforcement learning
Information Sciences: an International Journal
Information Sciences: an International Journal
IEEE Transactions on Robotics
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
On the properties of concept classes induced by multivalued Bayesian networks
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
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An on-line reinforcement learning system that adapts to environmental changes using a mixture of Bayesian networks is described. Building intelligent systems able to adapt to dynamic environments is important for deploying real-world applications. Machine learning approaches, such as those using reinforcement learning methods and stochastic models, have been used to acquire behavior appropriate to environments characterized by uncertainty. However, efficient hybrid architectures based on these approaches have not yet been developed. The results of several experiments demonstrated that an agent using the proposed system can flexibly adapt to various kinds of environmental changes.