93 search results - page 18 / 19 » Learning to overtake in TORCS using simple reinforcement lea... |
AAAI
2008
13 years 8 months ago
2008
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
ICANN
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Developing superior artificial board-game players is a widelystudied area of Artificial Intelligence. Among the most challenging games is the Asian game of Go, which, des...
WOWMOM
2005
ACM
13 years 11 months ago
2005
ACM
Ad hoc networks represent a key factor in the evolution of wireless communications. These networks typically consist of equal nodes that communicate without central control, inter...
UAI
2003
13 years 7 months ago
2003
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
ATAL
2003
Springer
13 years 11 months ago
2003
Springer
In this paper we study a class of resource allocation games which are inspired by the El Farol Bar problem. We consider a system of competitive agents that have to choose between ...