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AAAI
2008
15 years 9 months ago
HTN-MAKER: Learning HTNs with Minimal Additional Knowledge Engineering Required
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
Chad Hogg, Héctor Muñoz-Avila, Ugur ...
AAAI
2008
15 years 9 months ago
Economic Hierarchical Q-Learning
Hierarchical state decompositions address the curse-ofdimensionality in Q-learning methods for reinforcement learning (RL) but can suffer from suboptimality. In addressing this, w...
Erik G. Schultink, Ruggiero Cavallo, David C. Park...
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AIPS
2007
15 years 9 months ago
Prioritizing Bellman Backups without a Priority Queue
Several researchers have shown that the efficiency of value iteration, a dynamic programming algorithm for Markov decision processes, can be improved by prioritizing the order of...
Peng Dai, Eric A. Hansen
NSDI
2007
15 years 9 months ago
R-BGP: Staying Connected in a Connected World
Many studies show that, when Internet links go up or down, the dynamics of BGP may cause several minutes of packet loss. The loss occurs even when multiple paths between the sende...
Nate Kushman, Srikanth Kandula, Dina Katabi, Bruce...
WSC
2007
15 years 9 months ago
Communication and process simulation of set-based design for concrete reinforcement
Two discrete-event simulations are developed to assess the feasibility of improving the delivery process of reinforced concrete structures. The simulations represent the resource ...
John-Michael Wong, Kristen Parrish, Iris D. Tommel...