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AAAI
2007
13 years 11 months ago
Scaling Up: Solving POMDPs through Value Based Clustering
Partially Observable Markov Decision Processes (POMDPs) provide an appropriately rich model for agents operating under partial knowledge of the environment. Since finding an opti...
Yan Virin, Guy Shani, Solomon Eyal Shimony, Ronen ...
DAC
2005
ACM
13 years 11 months ago
Prime clauses for fast enumeration of satisfying assignments to boolean circuits
Finding all satisfying assignments of a propositional formula has many applications in the design of hardware and software. An approach to this problem augments a clause-recording...
HoonSang Jin, Fabio Somenzi
AAAI
2004
13 years 10 months ago
Leap Before You Look: An Effective Strategy in an Oversubscribed Scheduling Problem
Oversubscribed scheduling problems require removing or partially satisfying tasks when enough resources are not available. For a particular oversubscribed problem, Air Force Satel...
Laura Barbulescu, L. Darrell Whitley, Adele E. How...
IJCAI
2001
13 years 10 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar
UAI
2004
13 years 10 months ago
On the Choice of Regions for Generalized Belief Propagation
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
Max Welling