On Tue, Mar 13, 2012 at 6:37 AM, Shankar Satish <[email protected]> wrote: > Do you think my proposal about implementing reinforcement-learning > algorithms (subject line: "GSOC project idea: online learning algorithms") > is something that is well suited for integration into scikit-learn? Do you > think it makes more sense to start a new scikit focussed on reinforcement > learning?
Just a couple of comments. There are some RL Python implementations, e.g. PyBrain (http://pybrain.org/) and RL-Glue/RL-Library (http://glue.rl-community.org/wiki/Main_Page). It seems that none of these are being actively developed. The nature of RL problems implies that the architecture of the code is different than the "single script" approach used in scikit-learn. For instance, in RL-Glue/RL-Library you run three independent programs (the agent, environment and experiment programs) plus the RL-Glue process. This approach is natural because it mimics the actual RL problem, where the agent and the environment are two different entities. Also, in the case of RL-Glue, you can combine environments and agents written in different languages. I wonder how this different architecture of RL would match with the scikit-learn ecosystem. Alejandro. ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
