239 search results - page 24 / 48 » Adaptive learning in evolving task allocation networks |
TCIAIG
2010
13 years 2 months ago
2010
In this paper, we applied online neuroevolution to evolve nonplayer characters for The Open Racing Car Simulator (TORCS). While previous approaches allowed online learning with per...
NIPS
2000
13 years 8 months ago
2000
Competitive learning is a technique for training classification and clustering networks. We have designed and fabricated an 11transistor primitive, that we term an automaximizing ...
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
APNOMS
2009
Springer
13 years 5 months ago
2009
Springer
The inherent and increasing complexity, heterogeneity and unpredictability of computer networks make the task of managing these systems highly complex. The autonomic computing para...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...