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GECCO
2005
Springer
174views Optimization» more  GECCO 2005»
13 years 11 months ago
Emergence of communication in competitive multi-agent systems: a pareto multi-objective approach
In this paper we investigate the emergence of communication in competitive multi-agent systems. A competitive environment is created with two teams of agents competing in an explo...
Michelle McPartland, Stefano Nolfi, Hussein A. Abb...
AGENTS
1999
Springer
13 years 10 months ago
Team-Partitioned, Opaque-Transition Reinforcement Learning
In this paper, we present a novel multi-agent learning paradigm called team-partitioned, opaque-transition reinforcement learning (TPOT-RL). TPOT-RL introduces the concept of usin...
Peter Stone, Manuela M. Veloso
ROBOCUP
2004
Springer
133views Robotics» more  ROBOCUP 2004»
13 years 11 months ago
Towards a League-Independent Qualitative Soccer Theory for RoboCup
The paper discusses a top-down approach to model soccer knowledge, as it can be found in soccer theory books. The goal is to model soccer strategies and tactics in a way that they ...
Frank Dylla, Alexander Ferrein, Gerhard Lakemeyer,...
COSIT
2001
Springer
142views GIS» more  COSIT 2001»
13 years 10 months ago
The Utility of Global Representations in a Cognitive Map
In this paper we propose the use of small global memory for a viewer’s immediate surroundings to assist in recognising places that have been visited previously. We call this glob...
Margaret E. Jefferies, Wai K. Yeap
BC
2002
193views more  BC 2002»
13 years 5 months ago
Resonant spatiotemporal learning in large random recurrent networks
Taking a global analogy with the structure of perceptual biological systems, we present a system composed of two layers of real-valued sigmoidal neurons. The primary layer receives...
Emmanuel Daucé, Mathias Quoy, Bernard Doyon