A generic framework for life simulation and learning multi-agent systems with the ability to solve complex problems in multiple domains
M.Sc. (Computer Science) === This research study investigates multi-agent systems (MASs), artificial life concepts and machine learning, amongst other things, in answering the key research question: “How can a generic multi-agent system integrate with machine learning through artificial life princip...
Main Author: | Doukas, Gregory |
---|---|
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10210/8720 |
Similar Items
-
QSOD: Hybrid Policy Gradient for Deep Multi-agent Reinforcement Learning
by: Hafiz Muhammad Raza Ur Rehman, et al.
Published: (2021-01-01) -
Exploiting Domain Structure in Multiagent Decision-Theoretic Planning and Reasoning
by: Kumar, Akshat
Published: (2013) -
Sample efficient multiagent learning in the presence of Markovian agents
by: Chakraborty, Doran
Published: (2013) -
Modeling and solving decentralized supply chain management problems using multi-agent system with dynamic-control agents
by: Chau, Wan-hin, Derek, et al.
Published: (2015) -
Methodologies for Belief Revision in Multi-agent Systems
by: Malheiro, Maria Benedita Campos Neves
Published: (1999)