949 search results - page 46 / 190 » Relating Imperatives to Action |
NIPS
1994
13 years 9 months ago
1994
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
AAAI
2010
13 years 9 months ago
2010
Relational Markov Decision Processes (MDP) are a useraction for stochastic planning problems since one can develop abstract solutions for them that are independent of domain size ...
JSYML
2011
13 years 2 months ago
2011
Abstract. Louveau and Rosendal [5] have shown that the relation of biembeddability for countable graphs as well as for many other natural classes of countable structures is complet...
ILP
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
MIDDLEWARE
2007
Springer
14 years 1 months ago
2007
Springer
This paper is about a novel rule-based approach for reasoning about qualitative spatiotemporal relations among technology-rich autonomous objects, to which we refer to as artifact...