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304-self-orienting-in-human-and-machine-learning

https://github.com/szu-advtech-2024/304-self-orienting-in-human-and-machine-learning

Science Score: 13.0%

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    Low similarity (6.8%) to scientific vocabulary
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  • Owner: SZU-AdvTech-2024
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Created over 1 year ago · Last pushed over 1 year ago
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Citation

https://github.com/SZU-AdvTech-2024/304-Self-orienting-in-human-and-machine-learning/blob/main/ 

# self with Double DQN

origin code is from https://github.com/Ethical-Intelligence-Lab/probabilisticSelf

## Requirements for plotting 
- you just need to run .gym_gridworld\envs\double_dqn.py and obtain the json file .And then run plotheat.py then you can get the image for the DDQN performance 

## Requirements for running DDQN

- Windows, OS X, or Linux 
- Python 3.6 or higher
- use cuda can accelerate the speed of  training

## Parameter
folder param in gym_gridworld  is for the environment ,you can use it to set the level as you want.


## Data
- Available in the project's OSF repository.  https://osf.io/bwzth/Simply . unzip the .zip folder in the project repo, such that the 'data' directory is visible.

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  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

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