5 search results - page 1 / 1 » Using distributed w-learning for multi-policy optimization i... |
ICAC
2009
IEEE
13 years 2 months ago
2009
IEEE
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
SASO
2009
IEEE
13 years 11 months ago
2009
IEEE
—Large-scale agent-based systems are required to self-optimize towards multiple, potentially conflicting, policies of varying spatial and temporal scope. As a result, not all ag...
IJCAI
2003
2003
Towards Cooperative Negotiation for Decentralized Resource Allocation in Autonomic Computing Systems
13 years 6 months ago
Resource allocation is a key problem in autonomic computing. In this paper we use a data center scenario to motivate the need for decentralization and cooperative negotiation, and...
IAT
2005
IEEE
13 years 10 months ago
2005
IEEE
The algorithm we present in this paper aims to optimally distribute and connect the community of loosely coupled middle agents ensuring communication accessibility in a dynamic, i...
IAT
2009
IEEE
13 years 11 months ago
2009
IEEE
Application of autonomous intelligent systems into airspace domain is very important nowadays. The paper presents decentralized collision avoidance algorithm utilizing a solution ...