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EWCBR
2008
Springer
13 years 6 months ago
Forgetting Reinforced Cases
To meet time constraints, a CBR system must control the time spent searching in the case base for a solution. In this paper, we presents the results of a case study comparing the p...
Houcine Romdhane, Luc Lamontagne
FLAIRS
2008
13 years 7 months ago
Reinforcement of Local Pattern Cases for Playing Tetris
In the paper, we investigate the use of reinforcement learning in CBR for estimating and managing a legacy case base for playing the game of Tetris. Each case corresponds to a loc...
Houcine Romdhane, Luc Lamontagne
CODES
2008
IEEE
13 years 11 months ago
Don't forget memories: a case study redesigning a pattern counting ASIC circuit for FPGAs
Modern embedded compute platforms increasingly contain both microprocessors and field-programmable gate arrays (FPGAs). The FPGAs may implement accelerators or other circuits to s...
David Sheldon, Frank Vahid
ECAI
2010
Springer
13 years 5 months ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...
NECO
2010
97views more  NECO 2010»
13 years 3 months ago
Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto...