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ICML
2006
IEEE
16 years 1 months ago
Reinforcement learning for optimized trade execution
We present the first large-scale empirical application of reinforcement learning to the important problem of optimized trade execution in modern financial markets. Our experiments...
Yuriy Nevmyvaka, Yi Feng, Michael S. Kearns
132
Voted
CORR
2011
Springer
142views Education» more  CORR 2011»
14 years 4 months ago
Taming Numbers and Durations in the Model Checking Integrated Planning System
The Model Checking Integrated Planning System (MIPS) has shown distinguished performance in the second and third international planning competitions. With its object-oriented fram...
Stefan Edelkamp
119
Voted
ATAL
2007
Springer
15 years 6 months ago
Reducing the complexity of multiagent reinforcement learning
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Andriy Burkov, Brahim Chaib-draa
92
Voted
IJCAI
2007
15 years 2 months ago
Learning from Partial Observations
We present a general machine learning framework for modelling the phenomenon of missing information in data. We propose a masking process model to capture the stochastic nature of...
Loizos Michael
ML
2000
ACM
244views Machine Learning» more  ML 2000»
15 years 12 days ago
Learnable Evolution Model: Evolutionary Processes Guided by Machine Learning
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
Ryszard S. Michalski