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ARCS
2008
Springer
14 years 11 months ago
How Efficient are Creatures with Time-shuffled Behaviors?
: The task of the creatures in the "creatures' exploration problem" is to visit all empty cells in an environment with a minimum number of steps. We have analyzed th...
Patrick Ediger, Rolf Hoffmann, Mathias Halbach
82
Voted
ATAL
2008
Springer
14 years 11 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
AIIDE
2006
14 years 11 months ago
The Self Organization of Context for Learning in MultiAgent Games
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
Christopher D. White, Dave Brogan
AAAI
2011
13 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
78
Voted
ACRI
2008
Springer
15 years 4 months ago
GP Generation of Pedestrian Behavioral Rules in an Evacuation Model Based on SCA
This paper presents a research in the context of pedestrian dynamics according to Situated Cellular Agent (SCA), a Multi-Agent Systems approach whose roots are on Cellular Automata...
Stefania Bandini, Sara Manzoni, Giancarlo Mauri, S...