本文整理汇总了Python中simulator.Simulator.circleRadius方法的典型用法代码示例。如果您正苦于以下问题：Python Simulator.circleRadius方法的具体用法？Python Simulator.circleRadius怎么用？Python Simulator.circleRadius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类simulator.Simulator的用法示例。
在下文中一共展示了Simulator.circleRadius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:
# 需要导入模块: from simulator import Simulator [as 别名]
# 或者: from simulator.Simulator import circleRadius [as 别名]
sim.supervisedTrainingTime = 0
sim.learningRandomTime = 5000
sim.learningEvalTime = 1000
sim.defaultControllerTime = 1000
sim.options['SARSA']['burnInTime'] = sim.learningRandomTime/2.0
# World Setup
sim.randomSeed = 40
sim.randomizeControl = True
sim.percentObsDensity = 7.5
sim.nonRandomWorld = True
sim.circleRadius = 1.75
sim.worldScale = 1
# # # Testing
# sim.supervisedTrainingTime = 10
# sim.learningRandomTime = 10
# sim.learningEvalTime = 10
# sim.defaultControllerTime = 10
sim.initialize()示例2:
# 需要导入模块: from simulator import Simulator [as 别名]
# 或者: from simulator.Simulator import circleRadius [as 别名]
sim.learningEvalTime = 500
sim.defaultControllerTime = 500
sim.options['SARSA']['epsilonGreedy'] = 0.4
sim.options['SARSA']['burnInTime'] = sim.supervisedTrainingTime/1.5
sim.options['Reward']['actionCost'] = 0.4
sim.options['Reward']['raycastCost'] = 40.0
# sim.options['Reward']['collisionPenalty'] = 200
sim.randomSeed = 8
sim.randomizeControl = True
sim.percentObsDensity = 5
sim.nonRandomWorld = True
sim.circleRadius = 2.5
sim.worldScale = 1
sim.options['World']['obstaclesInnerFraction'] = 0.8
# only try to learn the weights
sim.supervisedTrainingTime = 6000
sim.learningRandomTime = 0
sim.learningEvalTime = 1500
sim.defaultControllerTime = 0
## For testing
# sim.supervisedTrainingTime = 10
# sim.learningRandomTime = 10
# sim.learningEvalTime = 10