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» Universal Reinforcement Learning
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ECML
2001
Springer
15 years 7 months ago
Convergence and Error Bounds for Universal Prediction of Nonbinary Sequences
Solomonoff’s uncomputable universal prediction scheme ξ allows to predict the next
Marcus Hutter
ICML
2006
IEEE
16 years 3 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
ICML
2007
IEEE
16 years 3 months ago
Cross-domain transfer for reinforcement learning
A typical goal for transfer learning algorithms is to utilize knowledge gained in a source task to learn a target task faster. Recently introduced transfer methods in reinforcemen...
Matthew E. Taylor, Peter Stone
ATAL
2007
Springer
15 years 8 months ago
Towards reinforcement learning representation transfer
Transfer learning problems are typically framed as leveraging knowledge learned on a source task to improve learning on a related, but different, target task. Current transfer met...
Matthew E. Taylor, Peter Stone
166
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ATAL
2011
Springer
14 years 2 months ago
Metric learning for reinforcement learning agents
A key component of any reinforcement learning algorithm is the underlying representation used by the agent. While reinforcement learning (RL) agents have typically relied on hand-...
Matthew E. Taylor, Brian Kulis, Fei Sha