AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In agent-based computational economics, many different trading strategies have been proposed. Given the kinds of market that such trading strategies are employed in, it i...
AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
For a number of years we have been working towards the goal of automatically creating auction mechanisms, using a range of techniques from evolutionary and multi-agent learning. Th...
AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We study optimal control in large stochastic multi-agent systems in continuous space and time. We consider multi-agent systems where agents have independent dynamics with...
AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. In this paper we present a new, non-pheromone-based algorithm inspired by the behaviour of biological bees. The algorithm combines both recruitment and navigation strateg...
AAMAS
2007
Springer
13 years 11 months ago
2007
Springer
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...