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Python Simulator.sarsaType方法代码示例

本文整理汇总了Python中simulator.Simulator.sarsaType方法的典型用法代码示例。如果您正苦于以下问题:Python Simulator.sarsaType方法的具体用法?Python Simulator.sarsaType怎么用?Python Simulator.sarsaType使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在simulator.Simulator的用法示例。


在下文中一共展示了Simulator.sarsaType方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: Simulator

# 需要导入模块: from simulator import Simulator [as 别名]
# 或者: from simulator.Simulator import sarsaType [as 别名]
__author__ = 'manuelli'
from simulator import Simulator

sim = Simulator(autoInitialize=False, verbose=False)

sim.sarsaType = "discrete"
sim.options['SARSA']['lam'] = 0.0
sim.options['SARSA']['useQLearningUpdate'] = True
sim.options['SARSA']['numInnerBins'] = 5
sim.options['SARSA']['numOuterBins'] = 4
sim.options['SARSA']['binCutoff'] = 0.5
sim.options['SARSA']['epsilonGreedy'] = 0.4

sim.options['SARSA']['useSupervisedTraining'] = False


sim.options['Sensor']['rayLength'] = 10
sim.options['Sensor']['numRays'] = 20


sim.options['Reward']['actionCost'] = 0.4
sim.options['Reward']['raycastCost'] = 40.0
# sim.options['Reward']['collisionPenalty'] = 200


sim.options['Car']['velocity'] = 16

sim.options['World']['obstaclesInnerFraction'] = 0.85

sim.options['dt'] = 0.05
开发者ID:andybarry,项目名称:Machine-Learning-6.867-homework,代码行数:32,代码来源:runSARSA4.py

示例2: Simulator

# 需要导入模块: from simulator import Simulator [as 别名]
# 或者: from simulator.Simulator import sarsaType [as 别名]
__author__ = 'manuelli'
from simulator import Simulator

sim = Simulator(autoInitialize=False, verbose=False)

sim.sarsaType = "continuous"
sim.Sarsa_numInnerBins = 4
sim.Sarsa_numOuterBins = 4
sim.Sensor_rayLength = 10

#
# # small world
# sim.randomSeed = 11
# sim.randomizeControl       = True
# sim.percentObsDensity      = 3.5
# sim.nonRandomWorld         = True
# sim.circleRadius           = 2.0
# sim.worldScale             = 0.5
#
#
# big world
# sim.randomSeed = 10
# sim.randomizeControl       = True
# sim.percentObsDensity      = 3
# sim.nonRandomWorld         = True
# sim.circleRadius           = 2.5
# sim.worldScale             = 1


# # big dense
# sim.randomSeed = 12
开发者ID:andybarry,项目名称:Machine-Learning-6.867-homework,代码行数:33,代码来源:runSARSA2.py


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