package = "rl" version = "0.2-1" source = { url = "git://github.com/vpong/torch-rl.git", tag = "v0.2" } description = { summary = "A package for basic reinforcement learning algorithms.", detailed = [[ A package for basic reinforcement learning algorithms ]], homepage = "https://github.com/vpong/torch-rl" } dependencies = { "lua ~> 5.1", "torch >= 7.0" } build = { type = "builtin", modules = { AllActionsEqualPolicy = "AllActionsEqualPolicy.lua", constants = "constants.lua", ConstExplorer = "ConstExplorer.lua", ControlFactory = "ControlFactory.lua", Control = "Control.lua", DecayTableExplorer = "DecayTableExplorer.lua", EpisodeBuilder = "EpisodeBuilder.lua", Evaluator = "Evaluator.lua", Explorer = "Explorer.lua", GreedyPolicy = "GreedyPolicy.lua", LinSarsaFactory = "LinSarsaFactory.lua", LinSarsa = "LinSarsa.lua", MdpConfig = "MdpConfig.lua", Mdp = "Mdp.lua", MdpSampler = "MdpSampler.lua", MonteCarloControl = "MonteCarloControl.lua", NNSarsaFactory = "NNSarsaFactory.lua", NNSarsa = "NNSarsa.lua", Policy = "Policy.lua", QApprox = "QApprox.lua", QFunc = "QFunc.lua", QHash = "QHash.lua", QLin = "QLin.lua", QNN = "QNN.lua", QVAnalyzer = "QVAnalyzer.lua", rl = "rl.lua", SAFeatureExtractor = "SAFeatureExtractor.lua", SarsaAnalyzer = "SarsaAnalyzer.lua", SarsaFactory = "SarsaFactory.lua", Sarsa = "Sarsa.lua", TableSarsaFactory = "TableSarsaFactory.lua", TableSarsa = "TableSarsa.lua", TestMdp = "TestMdp.lua", TestMdpQVAnalyzer = "TestMdpQVAnalyzer.lua", TestPolicy = "TestPolicy.lua", TestSAFE = "TestSAFE.lua", ValueIteration = "ValueIteration.lua", VFunc = "VFunc.lua", VHash = "VHash.lua", ["util.io_util"] = "util/io_util.lua", ["util.mdputil"] = "util/mdputil.lua", ["util.tensorutil"] = "util/tensorutil.lua", ["util.util_for_unittests"] = "util/util_for_unittests.lua", ["util.util"] = "util/util.lua" }, copy_directories = { "doc" , "test"} }