Comments (4)
ZeratuuLL
commented on May 19, 2024
This finding is really interesting! But actually the special and careful initialization has no influence on the performance.....
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dantp-ai
commented on May 19, 2024
Evidence for your claim?
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ZeratuuLL
commented on May 19, 2024
I just tried to run the experiment without this initialization and nothing changes. Here is my report for this environment, you can have a look if interested. https://github.com/ZeratuuLL/Reinforcement-Learning/blob/master/Continuous%20Control/Report_Reacher.pdf
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ronny-udacity
commented on May 19, 2024
Linked to PR #15
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Related Issues (20)
- README doesn't indicate how to contribute.
- Use Pseudocount of Ones to Avoid Divide by Zero
- Banana.app Freezes on Mac HOT 1
- Discretization Issue when Creating Uniform Grid
- DDPG pendulum action scaling HOT 2
- REINFORCE Correction HOT 1
- A possible plagiarism incident? HOT 5
- running environment on Nvidia RTX cards
- "xdpyinfo" error in Discretization.ipynb
- [Question] Is this compatible with Python3.8? HOT 1
- ERROR: No matching distribution found for tensorflow==1.7.1 (from unityagents==0.4.0) HOT 5
- C:\ProgramData\Anaconda3\envs\drlnd\python.exe: No module named ipykernel HOT 1
- DQL size/reshape error
- DDPG - Bipedal is not converging
- AttributeError: module 'gym.envs.box2d' has no attribute 'LunarLander' HOT 1
- Banana.exe Not working HOT 3
- Can't setup environment due to outdated requirements
- low computation resource utilization
- torch requirement outdated HOT 4
- Banana environment throws a timeout on Windows64 HOT 1
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