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ICML
1994
IEEE
13 years 11 months ago
Markov Games as a Framework for Multi-Agent Reinforcement Learning
In the Markov decision process (MDP) formalization of reinforcement learning, a single adaptive agent interacts with an environment defined by a probabilistic transition function....
Michael L. Littman
ATAL
2006
Springer
13 years 11 months ago
Behaviosites: a novel paradigm for affecting distributed behavior
In this paper we present the Behaviosite paradigm, a new approach to affecting the behavior of distributed agents in a multiagent system, which is inspired by biological parasites ...
Amit Shabtay, Zinovi Rabinovich, Jeffrey S. Rosens...
ICAC
2006
IEEE
14 years 2 months ago
A Runtime Adaptation Framework for Native C and Bytecode Applications
— The need for self-healing software to respond with a reactive, proactive or preventative action as a result of changes in its environment has added the non-functional requireme...
Rean Griffith, Gail E. Kaiser
IVA
2005
Springer
14 years 1 months ago
Autonomous Virtual Agents Learning a Cognitive Model and Evolving
In this paper, we propose a new integration approach to simulate an Autonomous Virtual Agent's cognitive learning of a task for interactive Virtual Environment applications. O...
Toni Conde, Daniel Thalmann
CW
2005
IEEE
14 years 1 months ago
Agent Models for Dynamic 3D Virtual Worlds
Agents are systems capable of perceiving their environment through sensors, reasoning about their sensory input using some characteristic reasoning process and acting in their env...
Mary Lou Maher, Kathryn Elizabeth Merrick