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» Incremental Deterministic Planning
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ATAL
2006
Springer
13 years 11 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
DFT
2003
IEEE
79views VLSI» more  DFT 2003»
14 years 26 days ago
Hybrid BIST Using an Incrementally Guided LFSR
A new hybrid BIST scheme is proposed which is based on using an “incrementally guided LFSR.” It very efficiently combines external deterministic data from the tester with on-c...
C. V. Krishna, Nur A. Touba
ICCAD
2005
IEEE
133views Hardware» more  ICCAD 2005»
14 years 4 months ago
Gate sizing using incremental parameterized statistical timing analysis
— As technology scales into the sub-90nm domain, manufacturing variations become an increasingly significant portion of circuit delay. As a result, delays must be modeled as sta...
Matthew R. Guthaus, Natesan Venkateswaran, Chandu ...
NIPS
2008
13 years 9 months ago
MDPs with Non-Deterministic Policies
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
Mahdi Milani Fard, Joelle Pineau
ECAI
2010
Springer
13 years 8 months ago
Constraint-Based Controller Synthesis in Non-Deterministic and Partially Observable Domains
Controller synthesis consists in automatically building controllers taking as inputs observation data and returning outputs guaranteeing that the controlled system satisfies some d...
Cédric Pralet, Gérard Verfaillie, Mi...