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AAMAS
2002
Springer
15 years 29 days ago
TTree: Tree-Based State Generalization with Temporally Abstract Actions
William T. B. Uther, Manuela M. Veloso
103
Voted
AAMAS
2002
Springer
15 years 29 days ago
The Evolution of Communication Systems by Adaptive Agents
The paper surveys some of the mechanisms that have been demonstrated to be relevant for evolving communication systems in software simulations or robotic experiments. In each case,...
Luc Steels
124
Voted
AAMAS
2002
Springer
15 years 29 days ago
Relational Reinforcement Learning for Agents in Worlds with Objects
In reinforcement learning, an agent tries to learn a policy, i.e., how to select an action in a given state of the environment, so that it maximizes the total amount of reward it ...
Saso Dzeroski