Applied multivariate statistical analysis
Applied multivariate statistical analysis
Automatic programming of behavior-based robots using reinforcement learning
Artificial Intelligence
Practical Issues in Temporal Difference Learning
Machine Learning
Technical Note: \cal Q-Learning
Machine Learning
TD-Gammon, a self-teaching backgammon program, achieves master-level play
Neural Computation
Learning cooperative lane selection strategies for highways
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Relational reinforcement learning
Machine Learning - Special issue on inducive logic programming
Machine Learning
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Value Function Based Production Scheduling
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Integrating Guidance into Relational Reinforcement Learning
Machine Learning
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Learning classifier system with average reward reinforcement learning
Knowledge-Based Systems
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The Reinforcement Machine Learning technique presented in this paper simulates time and location information for a given sequence of activities and transport modes. The main contributions to the current state-of-the art are the allocation of location information in the simulation of activity-travel patterns, the non-restriction to a given number of activities and the incorporation of realistic travel times. Furthermore, the time and location allocation problem were treated and integrated simultaneously, which means that the respondents' reward is not only maximized in terms of minimum travel duration, but also simultaneously in terms of optimal time allocation.