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AAAI
2000
13 years 8 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen
EUROCRYPT
2005
Springer
14 years 27 days ago
Related-Key Boomerang and Rectangle Attacks
This paper introduces the related-key boomerang and the related-key rectangle attacks. These new attacks can expand the cryptanalytic toolbox, and can be applied to many block ciph...
Eli Biham, Orr Dunkelman, Nathan Keller
DS
1992
128views Database» more  DS 1992»
13 years 8 months ago
Achieving Incremental Consistency among Autonomous Replicated Databases
In this paper, we present methods for supporting autonomous updates in replicated databases. Autonomous updates are of particular importance to applications that cannot tolerate t...
Stefano Ceri, Maurice A. W. Houtsma, Arthur M. Kel...
MOR
2007
109views more  MOR 2007»
13 years 6 months ago
Solution and Forecast Horizons for Infinite-Horizon Nonhomogeneous Markov Decision Processes
We consider the problem of solving a nonhomogeneous infinite horizon Markov Decision Process (MDP) problem in the general case of potentially multiple optimal first period polic...
Torpong Cheevaprawatdomrong, Irwin E. Schochetman,...
AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok