from pybrain.structure.modules.module import Module # Tasks to be optimized: # ---------------------- # simple function sf = lambda x:-sum((x + 1) ** 2) # FunctionEnvironment class fe = SphereFunction # initialized FE ife1 = fe(1) ife2 = fe(2) ife100 = fe(100) # a Task object task = BalanceTask() task.N = 10 # for the simple evolvable class defined below evoEval = lambda e: e.x # starting points # ---------------------- xlist1 = [2.] xlist2 = [0.2, 10] xlist100 = list(range(12, 112)) xa1 = array(xlist1) xa2 = array(xlist2) xa100 = array(xlist100)
# -*- coding: utf-8 -*- """ Created on Thu Mar 7 20:41:24 2013 Just to try and get things working with a GA @author: david """ from pybrain.tools.shortcuts import buildNetwork from pybrain.structure.parametercontainer import ParameterContainer from pybrain.rl.environments.functions.unimodal import TabletFunction from pybrain.rl.environments.cartpole.balancetask import BalanceTask, CartPoleEnvironment from pybrain.optimization import GA from pybrain.rl.agents import LearningAgent, OptimizationAgent environment = CartPoleEnvironment() task = BalanceTask() nn = buildNetwork(task.outdim, 6, task.indim) learning_agent = OptimizationAgent(nn, GA())
