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ICRA
1995
IEEE
123views Robotics» more  ICRA 1995»
13 years 9 months ago
Vision-Based Reinforcement Learning for Purposive Behavior Acquisition
This paper presents a method of vision-based reinforcement learning by which a robot learns to shoot a ball into a goal, and discusses several issues in applying the reinforcement...
Minoru Asada, Shoichi Noda, Sukoya Tawaratsumida, ...
DSRT
2006
IEEE
13 years 11 months ago
Grid-enabling FIRST: Speeding Up Simulation Applications Using WinGrid
The vision of grid computing is to make computational power, storage capacity, data and applications available to users as readily as electricity and other utilities. Grid infrast...
Navonil Mustafee, Anders Alstad, Bjorn Larsen, Sim...
ITS
2010
Springer
157views Multimedia» more  ITS 2010»
13 years 10 months ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
CIG
2005
IEEE
13 years 11 months ago
Forcing Neurocontrollers to Exploit Sensory Symmetry Through Hard-wired Modularity in the Game of Cellz
Several attempts have been made in the past to construct encoding schemes that allow modularity to emerge in evolving systems, but success is limited. We believe that in order to c...
Julian Togelius, Simon M. Lucas
ATAL
2008
Springer
13 years 7 months ago
Efficient multi-agent reinforcement learning through automated supervision
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser