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NIPS
1998
13 years 6 months ago
Risk Sensitive Reinforcement Learning
In this paper, we consider Markov Decision Processes (MDPs) with error states. Error states are those states entering which is undesirable or dangerous. We define the risk with re...
Ralph Neuneier, Oliver Mihatsch
SAS
2009
Springer
212views Formal Methods» more  SAS 2009»
14 years 5 months ago
The Causal Graph Revisited for Directed Model Checking
Directed model checking is a well-established technique to tackle the state explosion problem when the aim is to find error states in large systems. In this approach, the state spa...
Martin Wehrle, Malte Helmert