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GECCO
2010
Springer
157views Optimization» more  GECCO 2010»
15 years 10 months ago
Speeding up the evaluation of evolutionary learning systems using GPGPUs
In this paper we introduce a method for computing fitness in evolutionary learning systems based on NVIDIA’s massive parallel technology using the CUDA library. Both the match ...
María A. Franco, Natalio Krasnogor, Jaume B...
DIMEA
2008
122views Multimedia» more  DIMEA 2008»
15 years 8 months ago
Multiplayer role games applied to problem based learning
The educational community is willing to approach the learning applications to the engaging and immersive formats of multimedia and video games as a way of increasing the motivatio...
Pilar Sancho, Pedro Pablo Gómez-Martí...
NIPS
2004
15 years 7 months ago
Convergence and No-Regret in Multiagent Learning
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Michael H. Bowling
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 6 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...
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ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
15 years 5 months ago
Reinforcement learning of motor skills in high dimensions: A path integral approach
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Evangelos Theodorou, Jonas Buchli, Stefan Schaal