373 search results - page 53 / 75 » Explicitly Modelling Model Debugging Environments |
96
Voted
ICCAD
1998
IEEE
15 years 4 months ago
1998
IEEE
This paper introduces Lazy Transitions Systems (LzTSs). The notion of laziness explicitly distinguishes between the enabling and the firing of an event in a transition system. LzT...
91
Voted
NIPS
1997
15 years 1 months ago
1997
Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an agent’s limited computational resources to achieve a good estimate of the value of ...
96
Voted
ICRA
2007
IEEE
15 years 6 months ago
2007
IEEE
— This paper describes a probabilistic framework for navigation using only appearance data. By learning a generative model of appearance, we can compute not only the similarity o...
103
Voted
ICANN
2009
Springer
15 years 4 months ago
2009
Springer
In a typical reinforcement learning (RL) setting details of the environment are not given explicitly but have to be estimated from observations. Most RL approaches only optimize th...
138
Voted
ATAL
2008
Springer
15 years 2 months ago
2008
Springer
Abstract. Autonomic computing is being advocated as a tool for maintaining and managing large, complex computing systems. Self-organising multi-agent systems provide a suitable par...