https://github.com/takuseno/ddpg

Deep Deterministic Policy Gradient implementation with TensorFlow
https://github.com/takuseno/ddpg

reinforcement-learning tensorflow

Last synced: about 1 month ago
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Deep Deterministic Policy Gradient implementation with TensorFlow

• Host: GitHub
• URL: https://github.com/takuseno/ddpg
• Owner: takuseno
• Created: 2017-10-01T08:17:45.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2018-02-12T04:25:15.000Z (almost 7 years ago)
• Last Synced: 2024-10-23T04:06:57.894Z (2 months ago)
• Topics: reinforcement-learning, tensorflow
• Language: Python
• Homepage:
• Size: 17.6 KB
• Stars: 3
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## DDPG

Deep Deterministic Policy Gradient implementation with Tensorflow.

## requirements

- Python3

## dependencies

- tensorflow

- gym[atari]

- opencv-python

- git+https://github.com/imai-laboratory/lightsaber

## usage

### training

```

$ python train.py --render

```

### playing

```

$ python train.py --render --load {path of models} --demo

```

### implementation

This is inspired by following projects.

- [DQN](https://github.com/imai-laboratory/dqn)