Analysis and design of robot's behavior: Towards a methodology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1545, Issue , 1998, Pages 46-61

  Faihe, Yassine ^a   Müller, Jean Pierre ^a  

^a UNIVERSITY OF NEUCHÂTEL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ROBOTS;

BEHAVIOR ANALYSIS; CONCEPTUAL FRAMEWORKS; CONTROL ARCHITECTURE; CONTROLLER DESIGNS; NUMBER OF METHODS;

MACHINE DESIGN;

EID: 32844468926     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-49240-2_4     Document Type: Conference Paper

References (14)

1. Valentino Braitenberg. Vehicles. Experiments In Synthetic Psychology. MIT Press, 1984.
2. Marco Colombetti, Marco Dorigo, and Giuseppe Borghi. Behavior analysis and design - a methodology for behavior engineering. IEEE Transactions on Systems, Man and Cybernetics, 26, 1996.
3. Peter Dayan and Geoffrey E. Hinton. Feudal reinforcement learning. In Advances in Neural Information Processing Systems 5, 1993.
4. Thomas G. Dietterich. Hierarchical reinforcement learning with the MAXQ value function decomposition. Technical report, Oregon State University, 1997.
5. Leslie P. Kaelbling, Michael L. Littman, and Andrew W. Moore. Reinforcement learning: a survey. Journal of Artificial Intelligence Research, 4, 1996.
6. Long J. Lin. Reinforcement learning with hidden state. In Proceedings of the Second International Conference on Simulation of Adaptive Behavior, 1992.
7. Long J. Lin. Hierarchical learning of robot skills by reinforcement. In Proceedings of the IEEE International Conference on Neural Networks, 1993.
8. Maja J. Mataric. Reward functions for accelerated learning. In W.W. Cohen and H. Hirsh, editors, Proceedings of the Eleventh International Conference on Machine learning. Morgan Kaufmann, 1994.
9. José del R. Millän. Rapid, safe and incremental learning of navigation strategies. IEEE Transactions on Systems, Man and Cybernetics, 26, 1996.
10. Michel Minoux. Mathematical Programming. John Wiley and Son, 1986.
11. Doina Precup, Richard S. Sutton, and Satinder P. Singh. Planning with closed-loop macro actions. Working notes of the 1997 AAAI Fall Symposium on Model-directed Autonomous Systems, 1997.
12. Gavin A. Rummery. Problem Solving With Reinforcement learning. PhD thesis, University of Cambridge, 1995.
13. Richard S. Sutton. Implementation details of the TD(A) procedure for the case of vector predictions and backpropagation. Technical Report TN87-509.1, GTE Laboratories, 1989.
14. Sebastian Thrun. Efficient exploration in reinforcement learning. Technical Report CMU-CS-92-102, Carnegie Mellon University, 1992.