| 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 |   |   | 
 Multitask Learning
 Rich Caruana, 1997
    Details   
 Exponentially many local minima for single neurons
 Peter Auer,  Mark Herbster, and  Manfred K. Warmuth, 1996
    Details   
 Multilayer feedforward networks are universal approximators
 Kurt Hornik,  Maxwell B. Stinchcombe, and  Halbert White, 1989
    Details