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ICTAI
2007
IEEE
14 years 5 months ago
Multi-agent Reinforcement Learning Using Strategies and Voting
Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
AAAI
2004
14 years 6 days ago
Machine Learning for Fast Quadrupedal Locomotion
For a robot, the ability to get from one place to another is one of the most basic skills. However, locomotion on legged robots is a challenging multidimensional control problem. ...
Nate Kohl, Peter Stone
AAAI
1996
14 years 3 days ago
A Complexity Analysis of Space-Bounded Learning Algorithms for the Constraint Satisfaction Problem
Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Roberto J. Bayardo Jr., Daniel P. Miranker
ATAL
1999
Springer
14 years 3 months ago
Towards a Distributed, Environment-Centered Agent Framework
Abstract. This paper will discuss the internal architecture for an agent framework called DECAF (Distributed Environment Centered Agent Framework). DECAF is a software toolkit for ...
John R. Graham, Keith Decker
ICALT
2007
IEEE
14 years 5 months ago
A Multiagent Extension for Virtual Reality Based Intelligent Tutoring Systems
Applying Virtual Reality (VR) in combination with Intelligent Tutoring Systems (ITSs) is a promising approach to computer based learning and training. However, the classical struc...
Ricardo Imbert, Leticia Sánchez, Angé...