Continual robot learning with constructive neural networks

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

Volumn 1545, Issue , 1998, Pages 95-108

  Großmann, Axel ^a   Poli, Riccardo ^a  

^a UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AIR NAVIGATION; MOBILE ROBOTS; NEURAL NETWORKS;

ACTION RULES; CONSTRUCTIVE NEURAL NETWORK; HIGH-ORDER NEURAL NETWORK; IMITATIVE LEARNING; LEARNING BY IMITATION; NAVIGATION TASKS;

REINFORCEMENT LEARNING;

EID: 84947742444     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-49240-2_7     Document Type: Conference Paper

References (11)

1. Paul Bakker and Yasuo Kuniyoshi. Robot see, robot do: An overview of robot imitation. In Proceedings of the AISB'96 Workshop on Learning in Robots and Animals, Brighton, UK, 1996.
2. Jonathan H. Connell and Sridhar Mahadevan, editors. Robot Learning. Kluwer Academic, Norwell, MA, USA, 1993.
3. John Demiris and Gillian Hayes. Imitative learning mechanisms in robots and humans. In Volker Klingspor, editor, Proceedings of the Fifth European Workshop on Learning Robots, Bari, Italy, 1996.
4. Marco Dorigo and Marco Colombetti. The role of the trainer in reinforcement learning. In S. Mahadevan et al., editors, Proceedings of the Workshop on Robot Learning held as part of the 1994 International Conference on Machine Learning (ML'94) and the 1994 ACM Conference on Computational Learning Theory (COLT'94), pages 37 1994.
5. Gillian Hayes and John Demiris. A robot controller using learning by imitation. In Proceedings of the Second International Symposium on Intelligent Robotic Systems, Grenoble, France, 1994.
6. Leslie Pack Kaelbling, Michael L. Littman, and Andrew W. Moore. Reinforcement learning: A survey. Artificial Intelligence Research, 4:237-285, 1996.
7. Yasuo Kuniyoshi, Masayuki Inaba, and Hirochika Inoue. Learning by watching: Extracting reusable task knowledge from visual observation of human performance. IEEE Transactions on Robotics and Automation, 10(6), 1994.
8. Long-Ji Lin. Self-improving reactive agents based on reinforcement learning, planning and teaching. Machine Learning, 8(3/4):293-321, 1992. Special Issue on Reinforcement Learning.
9. Olivier Michel. Khepera Simulator Package 2.0. University of Nice Sophia-Antipolis, Valbonne, France, 1996. Available via the URL http://wwwi3s.unice.fr/~om/khep-sim.html.
10. Mark Bishop Ring. Continual learning in reinforcement environments. PhD thesis, University of Texas, Austin, TX, USA. Available via the URL http://www-set.gmd.de/~ring/Diss/, 1994.
11. R. L. Riolo. The emergence of default hierarchies in learning classifier systems. In J. D. Schaffer, editor, Proceedings of the Third International Conference on Genetic Algorithms, pages 322-327. Morgan Kaufmann, 1989.