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126
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AAAI
2006
15 years 4 months ago
On the Difficulty of Modular Reinforcement Learning for Real-World Partial Programming
In recent years there has been a great deal of interest in "modular reinforcement learning" (MRL). Typically, problems are decomposed into concurrent subgoals, allowing ...
Sooraj Bhat, Charles Lee Isbell Jr., Michael Matea...
119
Voted
WWW
2001
ACM
16 years 4 months ago
A Logic-based Framework for Mobile Intelligent Information Agents
Information agents are computational software systems that provides transparent access to many different information sources in the Internet, and to be able to retrieve, analyze, ...
Naoki Fukuta, Takayuki Ito, Toramatsu Shintani
149
Voted
DALT
2004
Springer
15 years 8 months ago
Reasoning About Agents' Interaction Protocols Inside DCaseLP
Engineering systems of heterogeneous agents is a difficult task; one of the ways for achieving the successful industrial deployment of agent technology is the development of engine...
Matteo Baldoni, Cristina Baroglio, Ivana Gungui, A...
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 9 months ago
A phenotypic analysis of GP-evolved team behaviours
This paper presents an approach to analyse the behaviours of teams of autonomous agents who work together to achieve a common goal. The agents in a team are evolved together using...
Darren Doherty, Colm O'Riordan
E4MAS
2005
Springer
15 years 9 months ago
Grounding Social Interactions in the Environment
Abstract. While agents and environments are two intimately connected concepts, most approaches for multi-agent development focus on the agent-specific part of the system, whereas ...
Florian Klein, Holger Giese