615 search results - page 30 / 123 » A social reinforcement learning agent |
77
Voted
ATAL
2010
Springer
15 years 6 days ago
2010
Springer
This paper introduces an approach to automatic basis function construction for Hierarchical Reinforcement Learning (HRL) tasks. We describe some considerations that arise when con...
86
Voted
AAAI
2004
15 years 15 days ago
2004
Despite increasing deployment of agent technologies in several business and industry domains, user confidence in fully automated agent driven applications is noticeably lacking. T...
101
Voted
IJCAI
2007
15 years 15 days ago
2007
The options framework provides a method for reinforcement learning agents to build new high-level skills. However, since options are usually learned in the same state space as the...
AAAI
1998
15 years 13 days ago
1998
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
CEEMAS
2005
Springer
15 years 4 months ago
2005
Springer
Abstract. In this paper we compare our selection based learning algorithm with the reinforcement learning algorithm in Web crawlers. The task of the crawlers is to find new inform...