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with Feed-Forward Neural Networks","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">explorers</span></tt> &#8211; RL Components: Explorers","Building Networks with Modules and Connections","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">supervised</span></tt> &#8211; Dataset for Supervised Regression Training","Using Datasets","<tt class=\"docutils literal docutils literal docutils literal\"><span class=\"pre\">utilities</span></tt> &#8211; Simple but useful Utility Functions","<tt class=\"docutils literal\"><span class=\"pre\">classification</span></tt> &#8211; Datasets for Supervised Classification Training","Welcome to PyBrain&#8217;s documentation!","Fast networks for PyBrain","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">agents</span></tt> &#8211; RL Components: Agents","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">optimization</span></tt> &#8211; Black-box Optimization Algorithms","<tt class=\"docutils literal\"><span class=\"pre\">modules</span></tt> &#8211; Structural Components: Modules","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">trainers</span></tt> &#8211; Supervised Training for Networks and other Modules","<tt class=\"docutils literal docutils literal docutils literal\"><span class=\"pre\">networks</span></tt> &#8211; Structural Components: Networks","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">learners</span></tt> &#8211; RL Components: Learners","<tt class=\"docutils literal\"><span class=\"pre\">actionvalues</span></tt> &#8211; RL Components: ActionValues","Using ODE Environments","<tt class=\"docutils literal docutils literal docutils literal\"><span class=\"pre\">tasks</span></tt> &#8211; RL Components: Tasks","Extending PyBrain&#8217;s structure","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">tools</span></tt> &#8211; Some Useful Tools and Macros","Building a DataSet","Training your Network on your Dataset","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">experiments</span></tt> &#8211; RL Components: Experiments","Introduction","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">svmunit</span></tt> &#8211; LIBSVM Support Vector Machine Unit","<tt class=\"docutils literal\"><span class=\"pre\">connections</span></tt> &#8211; Structural Components: Connections","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">importance</span></tt> &#8211; Datasets for Weighted Supervised Training","<tt class=\"docutils literal\"><span class=\"pre\">nearoptimal</span></tt> &#8211; Near Optimal Locality Sensitive Hashing","Black-box Optimization","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">sequential</span></tt> &#8211; Dataset for Supervised Sequences Regression Training","Building a Network","Reinforcement Learning","<tt class=\"docutils literal docutils literal\"><span class=\"pre\">evolvable</span></tt> &#8211; Container Component: 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