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SAT
2004
Springer
89views Hardware» more  SAT 2004»
14 years 2 months ago
Using Rewarding Mechanisms for Improving Branching Heuristics
The variable branching heuristics used in the most recent and most effective SAT solvers, including zChaff and BerkMin, can be viewed as consisting of a simple mechanism for rewa...
Elsa Carvalho, João P. Marques Silva
SETN
2004
Springer
14 years 2 months ago
Data Brokers: Building Collections through Automated Negotiation
Collecting digital materials is time-consuming and can gain from automation. Since each source—and even each acquisition—may involve a separate negotiation of terms, a collecto...
Fillia Makedon, Song Ye, Sheng Zhang, James Ford, ...
RE
2001
Springer
14 years 1 months ago
A Requirements Negotiation Model Based on Multi-Criteria Analysis
Many software projects have failed because their requirements were poorly negotiated among stakeholders. Requirements negotiation is more critical than other factors such as tools...
Hoh In, David Olson, Tom Rodgers
ICML
2004
IEEE
14 years 9 months ago
Apprenticeship learning via inverse reinforcement learning
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
Pieter Abbeel, Andrew Y. Ng
AAAI
1996
13 years 10 months ago
Rewarding Behaviors
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
Fahiem Bacchus, Craig Boutilier, Adam J. Grove