233 search results - page 31 / 47 » Composing and combining policies under the policy machine |
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
CSSE
2004
IEEE
13 years 7 months ago
2004
IEEE
Abstract. Semantic Web technologies will deeply influence the further development of the Internet Economy. A major challenge is, however, to find a practical solution for trust pro...
RTCSA
2005
IEEE
14 years 1 months ago
2005
IEEE
In current research toward the design of more powerful behavior of RTDBS under unpredictable workloads, different research groups focus their work on QoS (Quality of Service) guar...
IJCAI
2007
13 years 9 months ago
2007
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
IJCAI
2003
13 years 8 months ago
2003
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...