A survey and critique of multiagent deep reinforcement learning
Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has
led to a dramatic increase in the number of applications and methods. Recent works have …
led to a dramatic increase in the number of applications and methods. Recent works have …
Multiagent systems: A survey from a machine learning perspective
Abstract Distributed Artificial Intelligence (DAI) has existed as a subfield of AI for less than
two decades. DAI is concerned with systems that consist of multiple independent entities that …
two decades. DAI is concerned with systems that consist of multiple independent entities that …
[图书][B] Layered learning in multiagent systems
PH Stone - 1998 - search.proquest.com
Multi-agent systems in complex, real-time domains require agents to act effectively both
autonomously and as part of a team. This dissertation addresses multi-agent systems …
autonomously and as part of a team. This dissertation addresses multi-agent systems …
Learning in multiagent systems
Learning and intelligence are intimately related to each other. It is usually agreed that a
system capable of learning deserves to be called intelligent; and conversely, a system being …
system capable of learning deserves to be called intelligent; and conversely, a system being …
[PDF][PDF] Is multiagent deep reinforcement learning the answer or the question? A brief survey
Deep reinforcement learning (RL) has achieved outstanding results in recent years. This has
led to a dramatic increase in the number of applications and methods. Recent works have …
led to a dramatic increase in the number of applications and methods. Recent works have …
[图书][B] Robot teams: from diversity to polymorphism
This is a comprehensive volume on robot teams that will be the standard reference on multi-
robot systems. The volume provides not only the essentials of multi-agent robotics theory but …
robot systems. The volume provides not only the essentials of multi-agent robotics theory but …
Biasing coevolutionary search for optimal multiagent behaviors
Cooperative coevolutionary algorithms (CEAs) offer great potential for concurrent multiagent
learning domains and are of special utility to domains involving teams of multiple agents …
learning domains and are of special utility to domains involving teams of multiple agents …
[图书][B] Strength or accuracy: credit assignment in learning classifier systems
T Kovacs - 2012 - books.google.com
Classifier systems are an intriguing approach to a broad range of machine learning
problems, based on automated generation and evaluation of condi tion/action rules …
problems, based on automated generation and evaluation of condi tion/action rules …
Theoretical convergence guarantees for cooperative coevolutionary algorithms
L Panait - Evolutionary computation, 2010 - ieeexplore.ieee.org
Cooperative coevolutionary algorithms have the potential to significantly speed up the
search process by dividing the space into parts that can each be conquered separately …
search process by dividing the space into parts that can each be conquered separately …
A multi-agent intelligent system for efficient ERP maintenance
OB Kwon, JJ Lee - Expert Systems with Applications, 2001 - Elsevier
The Enterprise Resource Planning (ERP) system is an enterprise-wide integrated software
package designed to uphold the highest quality standards of business process. However, for …
package designed to uphold the highest quality standards of business process. However, for …