https://github.com/harshitm98/cartpole

Implemented Deep-Q-Learning on OpenAI's CartPole environment.
https://github.com/harshitm98/cartpole

deep-q-network deep-reinforcement-learning reinforcement-learning

Last synced: 6 months ago
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Implemented Deep-Q-Learning on OpenAI's CartPole environment.

• Host: GitHub
• URL: https://github.com/harshitm98/cartpole
• Owner: harshitm98
• Created: 2019-02-09T19:21:55.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2019-02-13T08:02:33.000Z (almost 7 years ago)
• Last Synced: 2025-07-04T00:03:55.520Z (6 months ago)
• Topics: deep-q-network, deep-reinforcement-learning, reinforcement-learning
• Language: Python
• Homepage:
• Size: 292 KB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# CartPole

Implemented Deep-Q-Learning using keras-rl, keras and OpenAI's CartPole environment

During training:

![](https://github.com/harshitm98/CartPole/blob/master/cartpole_animation.gif)

After training:

![](https://github.com/harshitm98/CartPole/blob/master/cartpole_animation_optmizied.gif)

There are two files here:

1. [cartpole.py](https://github.com/harshitm98/CartPole/blob/master/cartpole.py): Built a direct Deep Q-learning network using [keras-rl](https://github.com/keras-rl/keras-rl).

2. [cartpole_building_dqn.py](https://github.com/harshitm98/CartPole/blob/master/cartpole_building_dqn.py): Built Deep Q-learning network with the help of Keras.