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» Learning Simulation Control in General Game-Playing Agents
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MIAR
2006
IEEE
14 years 22 days ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen
FLAIRS
1998
13 years 8 months ago
Learning to Race: Experiments with a Simulated Race Car
Our focus is on designing adaptable agents for highly dynamic environments. Wehave implementeda reinforcement learning architecture as the reactive componentof a twolayer control ...
Larry D. Pyeatt, Adele E. Howe
ATAL
2003
Springer
13 years 12 months ago
Concurrent layered learning
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
Shimon Whiteson, Peter Stone
ECAI
2010
Springer
13 years 7 months ago
The Dynamics of Multi-Agent Reinforcement Learning
Abstract. Infinite-horizon multi-agent control processes with nondeterminism and partial state knowledge have particularly interesting properties with respect to adaptive control, ...
Luke Dickens, Krysia Broda, Alessandra Russo
GECCO
2008
Springer
178views Optimization» more  GECCO 2008»
13 years 7 months ago
Agent Smith: a real-time game-playing agent for interactive dynamic games
The goal of this project is to develop an agent capable of learning and behaving autonomously and making decisions quickly in a dynamic environment. The agent’s environment is a...
Ryan K. Small