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» Learning dynamic algorithm portfolios
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GECCO
2003
Springer
133views Optimization» more  GECCO 2003»
15 years 7 months ago
Dynamic Strategies in a Real-Time Strategy Game
Abstract. Most modern real-time strategy computer games have a sophisticated but fixed ‘AI’ component that controls the computer’s actions. Once the user has learned how suc...
William Joseph Falke II, Peter Ross
136
Voted
ICRA
2002
IEEE
141views Robotics» more  ICRA 2002»
15 years 7 months ago
Movement Imitation with Nonlinear Dynamical Systems in Humanoid Robots
This article presents a new approach to movement planning, on-line trajectory modification, and imitation learning by representing movement plans based on a set of nonlinear di...
Auke Jan Ijspeert, Jun Nakanishi, Stefan Schaal
142
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ICML
2000
IEEE
16 years 3 months ago
On-line Learning for Humanoid Robot Systems
Humanoid robots are high-dimensional movement systems for which analytical system identification and control methods are insufficient due to unknown nonlinearities in the system s...
Gaurav Tevatia, Jörg Conradt, Sethu Vijayakum...
118
Voted
ATAL
2009
Springer
15 years 9 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
121
Voted
JMLR
2008
92views more  JMLR 2008»
15 years 2 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke