https://github.com/kkweon/dqn-in-r

Simple Deep Q Network in R
https://github.com/kkweon/dqn-in-r

Last synced: 3 months ago
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Simple Deep Q Network in R

• Host: GitHub
• URL: https://github.com/kkweon/dqn-in-r
• Owner: kkweon
• Created: 2017-05-26T04:28:45.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-12-14T04:35:40.000Z (about 5 years ago)
• Last Synced: 2024-10-03T15:53:08.503Z (3 months ago)
• Language: R
• Size: 273 KB
• Stars: 14
• Watchers: 6
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# DQN in R

Simple DQN implementation in R  

Original Paper: [Playing Atari with Deep Reinforcement Learning](https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf)







## Pseudocode







## UML









## Gym stat







Link: https://gym.openai.com/evaluations/eval_iEDX4AWFRmu8gqoIkmlXA


## Dependencies

- tensorflow

- reticulate

## Files

```

.

├── Agent.R # Agent class is defined here

├── assets 

├── DQN-in-R.Rproj

├── main.R # the main file to run

├── Memory.R # Memory class is defined here (aka Experience Replay Memory)

├── README.md

└── train.R # training helper function

```