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ECML
2004
Springer
15 years 11 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
AAAI
2006
15 years 7 months ago
Maintaining Cooperation in Noisy Environments
To prevent or alleviate conflicts in multi-agent environments, it is important to distinguish between situations where another agent has misbehaved intentionally and situations wh...
Tsz-Chiu Au, Dana S. Nau
ENTCS
2007
89views more  ENTCS 2007»
15 years 6 months ago
Weak Probabilistic Anonymity
Abstract. Anonymity means that the identity of the user performing a certain action is maintained secret. The protocols for ensuring anonymity often use random mechanisms which can...
Yuxin Deng, Catuscia Palamidessi, Jun Pang
GI
2010
Springer
15 years 4 months ago
A Method for Constructing Enterprise-wide Access Views on Business Objects
: Modern application landscapes consist of a multitude of inter-connected business applications exchanging data in manifold ways. These business applications are used by employees ...
Sabine Buckl, Florian Matthes, Sascha Roth, Christ...
ICST
2009
IEEE
15 years 4 months ago
Timed Testing under Partial Observability
This paper studies the problem of model-based testing of real-time systems that are only partially observable. We model the System Under Test (SUT) using Timed Game Automata (TGA)...
Alexandre David, Kim Guldstrand Larsen, Shuhao Li,...