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» Learning from Partial Observations
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CAV
2003
Springer
122views Hardware» more  CAV 2003»
14 years 25 days ago
Timed Control with Partial Observability
We consider the problem of synthesizing controllers for timed systems modeled using timed automata. The point of departure from earlier work is that we consider controllers that ha...
Patricia Bouyer, Deepak D'Souza, P. Madhusudan, An...
GLOBECOM
2006
IEEE
14 years 1 months ago
Adaptive Coding and Modulation for Hybrid ARQ Systems over Partially Observable Nakagami-m Fading Channels
— We study coding and modulation rate adaptation problem for HARQ systems with partially observable state from cross-layer viewpoint. The rate of convolutionally coded MQAM is ad...
Ashok K. Karmokar, Vijay K. Bhargava
AI
2007
Springer
13 years 7 months ago
Learning action models from plan examples using weighted MAX-SAT
AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
Qiang Yang, Kangheng Wu, Yunfei Jiang
ICML
2002
IEEE
14 years 8 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
IJCAI
2003
13 years 9 months ago
Action representation and partially observable planning using epistemic logic
We propose a purely logical framework for planning in partially observable environments. Knowledge states are expressed in a suitable fragment of the epistemic logic S5. We show h...
Andreas Herzig, Jérôme Lang, Pierre M...