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» Machine Learning of Temporal Relations
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NIPS
1996
15 years 4 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
87
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ML
2006
ACM
15 years 2 months ago
Application of abductive ILP to learning metabolic network inhibition from temporal data
Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis...
127
Voted
GECCO
2006
Springer
208views Optimization» more  GECCO 2006»
15 years 6 months ago
Comparing evolutionary and temporal difference methods in a reinforcement learning domain
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...
Matthew E. Taylor, Shimon Whiteson, Peter Stone
84
Voted
ML
2010
ACM
15 years 1 months ago
Temporal kernel CCA and its application in multimodal neuronal data analysis
Felix Bießmann, Frank C. Meinecke, Arthur Gr...
132
Voted
ICML
2005
IEEE
16 years 3 months ago
Reinforcement learning with Gaussian processes
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...
Yaakov Engel, Shie Mannor, Ron Meir