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floodsung/DRL-FlappyBird
Setting Difficulty level of the Game

Hi, Thanks for your nice code and documentation. I saw the report from Kevin Chen [http://cs229.stanford.edu/proj2015/362_report.pdf] where he experimented with three difficulty levels (easy, medium, ...
  • sahisnu
  • Opened 
    on Aug 31, 2018
  • #7

floodsung/DRL-FlappyBird
Why did you need copyTargetQNetwork

I have no idea about the meaning of copyTargetQNetwork. Why did we need QValueT to eval the QValue_batch? In order to let training process more stable ?
  • fevemania
  • 2
  • Opened 
    on Mar 8, 2017
  • #5

floodsung/DRL-FlappyBird
Why do the program only use two state?

I read from here. Why do the program only use the current state and the next state? Why only using the two state can work? Thank you @songrotek
  • guotong1988
  • 4
  • Opened 
    on Mar 7, 2017
  • #4

floodsung/DRL-FlappyBird
How do 1 and -1 reward be used?

I find from here that all the rewards are add into the deque. We need to sample the 1 and -1 reward from the deque to use them. So do you think it may be slow. In Chinese：是不是reward为1和-1的情况也都放在deque里，那么reward为1和-1的被sample出来的几率岂不是很低，反馈就会很慢？ ...
  • guotong1988
  • 1
  • Opened 
    on Mar 7, 2017
  • #3

floodsung/DRL-FlappyBird
Not found: saved_networks/network-dqn-10000

我套用了您的BrainDQN_Nature模块，基本都没有改变，但是跑起来的时候发现有个问题是： tensorflow.python.framework.errors.NotFoundError: saved_networks/network-dqn-10000.tempstate14721420171424531239 [[Node: save/save = SaveSlices[T=[DT_FLOAT, ...
  • sunningboy
  • 1
  • Opened 
    on Oct 19, 2016
  • #2

floodsung/DRL-FlappyBird
New observation update problem

Hello @songrotek , code here seems to keep the oldest 3 frames forever, which means the algorithm is not using the newest 4 frames to represent state.
  • yenchenlin
  • 2
  • Opened 
    on Apr 15, 2016
  • #1
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