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AAAI
2011
12 years 9 months ago
Coordinated Multi-Agent Reinforcement Learning in Networked Distributed POMDPs
In many multi-agent applications such as distributed sensor nets, a network of agents act collaboratively under uncertainty and local interactions. Networked Distributed POMDP (ND...
Chongjie Zhang, Victor R. Lesser
IADIS
2008
13 years 11 months ago
Towards Mining for Influence in a Multi Agent Environment
Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
Robert Logie, Jon G. Hall, Kevin G. Waugh
CLEIEJ
2007
192views more  CLEIEJ 2007»
13 years 9 months ago
ALLEGRO: Teaching/Learning Multi-Agent Environment using Instructional Planning and Cases- Based Reasoning (CBR)
This paper presents a description of the environments of individualized learning (Based on the Intelligent Tutoring Systems, ITS), the Computer Supported Collaborative Learning (C...
Rosa M. Viccari, Demetrio A. Ovalle, Jovani A. Jim...
ATAL
2004
Springer
14 years 3 months ago
Time-Extended Policies in Multi-Agent Reinforcement Learning
Many algorithms such as Q-learning successfully address reinforcement learning in single-agent multi-time-step problems. In addition there are methods that address reinforcement l...
Kagan Tumer, Adrian K. Agogino
WER
2004
Springer
14 years 3 months ago
Enhancing Requirements to derive Multi-Agent Architectures
Software systems of today are characterized by the increasing size, complexity, distribution and heterogeneity. Understanding and supporting the interaction between software requir...
Lúcia R. D. Bastos, Jaelson Brelaz de Castr...