Function Approximation |   |   | Partial Observability |   |   | Learning Methods |   |   | Ensembles |   |   |
Stochastic Optimisation |   |   | General RL |   |   | General ML |   |   | Multiagent Learning |   |   |
Comparison/Integration |   |   | Bandits |   |   | Applications |   |   | Robot Soccer |   |   |
Humanoids |   |   | Parameter |   |   | MDP |   |   | Empirical |   |   |
Failure Warning |   |   | Representation |   |   | General AI |   |   | Neural Networks |   |   |
All |   |   |
Ensemble Algorithms in Reinforcement Learning
Marco Wiering and Hado van Hasselt, 2008
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Machine-Learning Research: Four Current Directions
Thomas G. Dietterich, 1997
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