Sciweavers

335 search results - page 19 / 67
» Learning Simulation Control in General Game-Playing Agents
Sort
View
70
Voted
ICES
2003
Springer
125views Hardware» more  ICES 2003»
15 years 2 months ago
Evolving Reinforcement Learning-Like Abilities for Robots
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
Jesper Blynel
AAAI
2007
15 years 11 hour ago
Acquiring Visibly Intelligent Behavior with Example-Guided Neuroevolution
Much of artificial intelligence research is focused on devising optimal solutions for challenging and well-defined but highly constrained problems. However, as we begin creating...
Bobby D. Bryant, Risto Miikkulainen
61
Voted
ICPR
2006
IEEE
15 years 10 months ago
Control Double Inverted Pendulum by Reinforcement Learning with Double CMAC Network
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
Siwei Luo, Yu Zheng, Ziang Lv
SIGCSE
2004
ACM
125views Education» more  SIGCSE 2004»
15 years 3 months ago
Agent-based cooperative learning: a proof-of-concept experiment
This paper presents an innovative multiagent system to support cooperative learning among students both in the real classrooms and in distance education. The system, called I-MIND...
Leen-Kiat Soh, Hong Jiang, Charles Ansorge
ICIAP
2009
ACM
15 years 4 months ago
Towards a Theoretical Framework for Learning Multi-modal Patterns for Embodied Agents
Multi-modality is a fundamental feature that characterizes biological systems and lets them achieve high robustness in understanding skills while coping with uncertainty. Relativel...
Nicoletta Noceti, Barbara Caputo, Claudio Castelli...