HyperNEAT controlled robots learn how to drive on roads in simulated environment

2009 IEEE Congress on Evolutionary Computation, CEC 2009

Volumn , Issue , 2009, Pages 1087-1092

  Drchal, Jan ^a   Koutńik, Jan ^a   Šnorek, Miroslav ^a  

^a CZECH TECHNICAL UNIVERSITY IN PRAGUE   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS ROBOT; AVERAGE SPEED; HYPERNEAT; NEURAL NETWORK CONTROLLERS; REAL ROBOT; SENSORY INPUT; SIMULATED ENVIRONMENT; SOFTWARE SIMULATION;

COMPUTER SIMULATION; COMPUTER SOFTWARE; ROADS AND STREETS; ROBOTS; SCALABILITY; SENSOR ARRAYS; SENSOR NETWORKS;

RECURRENT NEURAL NETWORKS;

EID: 70449767183     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2009.4983067     Document Type: Conference Paper

References (13)

1. J. L. Elman, "Finding structure in time." Cognitive Science, vol.14, no.2, pp. 179-211, 1990.
2. D. B. D'Ambrosio and K. O. Stanley, "A novel generative encoding for exploiting neural network sensor and output geometry, " in GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, 2007, pp. 974-981.
3. J. Gauci and K. Stanley, "Generating large-scale neural networks through discovering geometric regularities, " in GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, 2007, pp. 997-1004.
4. K. O. Stanley and R. Miikkulainen, "Evolving neural networks through augmenting topologies, " Evolutionary Computation, vol.10, pp. 99- 127, 2002.
5. C. Mattiussi, "Evolutionary synthesis of analog networks, " Ph.D. dissertation, EPFL, Lausanne, 2005. [Online]. Available: http://library.epfl.ch/theses/?nr=3199
6. P. D̈urr, C. Mattiussi, and D. Floreano, "Neuroevolution with Analog Genetic Encoding, " in Parallel Problem Solving from Nature - PPSN iX, ser. Lecture Notes in Computer Science, vol.9, 2006, pp. 671-680. [Online]. Available: http://ppsn2006.raunvis.hi.is/
7. P. D̈urr, C. Mattiussi, A. Soltoggio, and D. Floreano, "Evolvability of Neuromodulated Learning for Robots, " in The 2008 ECSIS Symposium on Learning and Adaptive Behavior in Robotic Systems. Los Alamitos, CA: IEEE Computer Society, 2008, pp. 41-46.
8. Z. Buk and M. Šnorek, "Hybrid evolution of heterogeneous neural networks, " in Artificial Neural Networks - ICANN 2008, vol.5163. Springer Berlin/Heidelberg, 2008, pp. 426-434.
9. P. J. Angeline, G. M. Saunders, and J. B. Pollack, "An evolutionary algorithm that constructs recurrent neural networks, " IEEE Transactions on Neural Networks, vol.5, pp. 54-65, 1993.
10. J. Schmidhuber, D. Wierstra, M. Gagliolo, and F. Gomez, "Training recurrent networks by evolino, " Neural computation, vol.19, no.3, pp. 757-779, March 2007.
11. D. B. D'Ambrosio and K. O. Stanley, "Generative encoding for multiagent learning, " in GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation. New York, NY, USA: ACM, 2008, pp. 819-826.
12. M. Waibel, "Evolution of cooperation in artificial ants, " Ph.D. dissertation, EPFL, 2007.
13. D. Floreano, S. Mitri, A. Perez-Uribe, and L. Keller, "Evolution of altruistic robots, " in Proceedings of the WCCI 2008, vol.5050. Springer Berlin/Heidelberg, 2008, pp. 232-248.