84 search results - page 12 / 17 » A New Perspective on Algorithms for Optimizing Policies unde... |
AAAI
2012
11 years 9 months ago
2012
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
CADE
2010
Springer
13 years 8 months ago
2010
Springer
Coalgebraic description logics offer a common semantic umbrella for extensions of description logics with reasoning principles outside relational semantics, e.g. quantitative uncer...
GECCO
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
JAIR
2008
13 years 7 months ago
2008
Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
RTS
2010
13 years 2 months ago
2010
Safety-critical real-time standards define several criticality levels for the tasks (e.g., DO-178B - Software Considerations in Airborne Systems and Equipment Certification). Clas...