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AAAI
2010
15 years 8 months ago
Reinforcement Learning via AIXI Approximation
This paper introduces a principled approach for the design of a scalable general reinforcement learning agent. This approach is based on a direct approximation of AIXI, a Bayesian...
Joel Veness, Kee Siong Ng, Marcus Hutter, David Si...
IJCAI
2007
15 years 7 months ago
Team Programming in Golog under Partial Observability
In this paper, we present the agent programming language TEAMGOLOG, which is a novel approach to programming a team of cooperative agents under partial observability. Every agent ...
Alessandro Farinelli, Alberto Finzi, Thomas Lukasi...
AAMAS
2004
Springer
15 years 6 months ago
The Dynamic Selection of Coordination Mechanisms
This paper presents and evaluates a decision making framework that enables autonomous agents to dynamically select the mechanism they employ in order to coordinate their inter-rela...
Cora B. Excelente-Toledo, Nicholas R. Jennings
AAMAS
2002
Springer
15 years 6 months ago
Cooperative Multiagent Learning
Cooperation and learning are two ways in which an agent can improve its performance. Cooperative Multiagent Learning is a framework to analyze the tradeoff between cooperation and ...
Enric Plaza, Santiago Ontañón
DALT
2010
Springer
15 years 1 months ago
A Deduction System for Meaning Negotiation
Meaning negotiation (MN) is the general process with which agents reach an agreement about the meaning of a set of terms. We give here a general model of MN for two agents, in whic...
Elisa Burato, Matteo Cristani, Luca Viganò