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AAAI
2012
11 years 10 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
AGS
2009
Springer
14 years 2 months ago
Two Case Studies for Jazzyk BSM
Recently, we introduced Behavioural State Machines (BSM ), a novel programming framework for development of cognitive agents with Jazzyk, its associated programming language and in...
Michael Köster, Peter Novák, David Mai...
ATAL
2008
Springer
13 years 10 months ago
Synthesis of strategies from interaction traces
We describe how to take a set of interaction traces produced by different pairs of players in a two-player repeated game, and combine them into a composite strategy. We provide an...
Tsz-Chiu Au, Sarit Kraus, Dana S. Nau
COR
2008
142views more  COR 2008»
13 years 8 months ago
Application of reinforcement learning to the game of Othello
Operations research and management science are often confronted with sequential decision making problems with large state spaces. Standard methods that are used for solving such c...
Nees Jan van Eck, Michiel C. van Wezel
DAIS
2008
13 years 9 months ago
Using Object Replication for Building a Dependable Version Control System
Object-oriented technologies are frequently used to design and implement distributed applications. Object replication is a well-established approach to increase the dependability f...
Rüdiger Kapitza, Peter Baumann, Hans P. Reise...