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IJCAI
2007
14 years 11 months ago
Transfer Learning in Real-Time Strategy Games Using Hybrid CBR/RL
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
Manu Sharma, Michael P. Holmes, Juan Carlos Santam...
AAAI
1998
14 years 11 months ago
Producing BT's Yellow Pages with Formation
This case study illustrates how the adoption of AI technology can bene t smaller companies as well as major corporations. Pindar Set is a small UK company which has originated the...
Gail Anderson, Andrew Casson-du Mont, Ann Macintos...
ATAL
2011
Springer
13 years 9 months ago
Quality-bounded solutions for finite Bayesian Stackelberg games: scaling up
The fastest known algorithm for solving General Bayesian Stackelberg games with a finite set of follower (adversary) types have seen direct practical use at the LAX airport for o...
Manish Jain, Christopher Kiekintveld, Milind Tambe
ATAL
2009
Springer
15 years 4 months ago
Point-based incremental pruning heuristic for solving finite-horizon DEC-POMDPs
Recent scaling up of decentralized partially observable Markov decision process (DEC-POMDP) solvers towards realistic applications is mainly due to approximate methods. Of this fa...
Jilles Steeve Dibangoye, Abdel-Illah Mouaddib, Bra...
IPCCC
2007
IEEE
15 years 3 months ago
Optimising Networks Against Malware
Rapidly-spreading malicious software is an important threat on today’s computer networks. Most solutions that have been proposed to counter this threat are based on our ability ...
Pierre-Marc Bureau, José M. Fernandez