17 search results - page 3 / 4 » Model-Based Reinforcement Learning in Continuous Environment... |
UAI
2008
13 years 8 months ago
2008
Continuous state spaces and stochastic, switching dynamics characterize a number of rich, realworld domains, such as robot navigation across varying terrain. We describe a reinfor...
DATE
2010
IEEE
13 years 6 months ago
2010
IEEE
—Model-Based Development (MBD) provides an al level of abstraction, the model, which lets engineers focus on the business aspect of the developed system. MBD permits automatic tr...
JAIR
2011
13 years 2 months ago
2011
Markovian processes have long been used to model stochastic environments. Reinforcement learning has emerged as a framework to solve sequential planning and decision-making proble...
PKDD
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. We present an implementation of model-based online reinforcement learning (RL) for continuous domains with deterministic transitions that is specifically designed to achi...
GECCO
2005
Springer
14 years 29 days ago
2005
Springer
This paper reports on the application of classifier systems to the acquisition of decision-making algorithms for agents in online soccer games. The objective of this research is t...