name: rl-satton version: 0.1.1 author: Sergey Mironov maintainer: grrwlf@gmail.com category: Machine Learning license: BSD3 license-file: LICENSE build-type: Simple cabal-version: >=1.10 copyright: Copyright (c) 2016, Sergey Mironov homepage: https://github.com/grwlf/rl synopsis: Collection of Reinforcement Learning algorithms description: rl-satton provides implementation of algorithms, described in the 'Reinforcement Learing: An Introduction' book by Richard S. Satton and Andrew G. Barto. In particular, TD(0), TD(lambda), Q-learing are implemented. Code readability was placed above performance. Usage examples are provided in the ./examples folder. library default-language: Haskell2010 hs-source-dirs: src exposed-modules: RL.DP RL.MC RL.TD RL.TDl RL.Imports RL.Types RL.Utils Graphics.TinyPlot Control.Monad.Rnd default-extensions: LambdaCase, NondecreasingIndentation, Rank2Types, ViewPatterns, ScopedTypeVariables, FlexibleInstances, FlexibleContexts, DataKinds, RecordWildCards, MultiParamTypeClasses, FunctionalDependencies, TemplateHaskell, QuasiQuotes, KindSignatures, TupleSections, DeriveGeneric build-depends: base >=4.8 && <5, containers, mtl, MonadRandom, transformers, monad-loops, lens, random, heredocs, process, filepath, mersenne-random-pure64, stm, pretty-show, time, directory, text, hashable, binary, deepseq, free, unordered-containers executable example default-language: Haskell2010 hs-source-dirs: examples main-is: Main.hs build-depends: base >=4.8 && <4.9, rl-satton, containers, unordered-containers, mtl default-extensions: LambdaCase, NondecreasingIndentation, Rank2Types, ViewPatterns, ScopedTypeVariables, FlexibleInstances, FlexibleContexts, DataKinds, RecordWildCards, MultiParamTypeClasses, FunctionalDependencies, TemplateHaskell, QuasiQuotes, KindSignatures, TupleSections, DeriveGeneric