https://github.com/keplerc/vr-rl
VR with Reinforcement Learning
https://github.com/keplerc/vr-rl
Last synced: 2 months ago
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VR with Reinforcement Learning
- Host: GitHub
- URL: https://github.com/keplerc/vr-rl
- Owner: KeplerC
- Created: 2018-08-02T16:34:01.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-08-06T20:52:56.000Z (almost 8 years ago)
- Last Synced: 2025-03-21T01:17:40.526Z (over 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 46.1 MB
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Reinforcement Learning and VR
### Files Included
vr
- gym-vr: a pip package for VR gym environment
- dqn: a deep Q-Learn model
- netDelay: source code for generating ./Program
- FYI
- log: set of logs extracted from ouput of MI analyzers
- set of analyzers: the analyzer scripts I am using
### Usage
First we need to **install VR training environment** by
```bash
cd VR_REIN
pip install -e .
```
This environment strictly follows package "gym"'s requirement, which gives observation, reward for each action in action space.
Then we start a **sample server** which listens to 127.0.0.1 with port number 9999 by
```bash
cd netDelay/server
./Program
```
Then we run the model by
```bash
cd dqn
python dqn.py
```