https://github.com/geyang/berkeley_deep_rl_solutions

Solutions to the Berkeley Deep RL Course CS294
https://github.com/geyang/berkeley_deep_rl_solutions

Last synced: 10 days ago
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Solutions to the Berkeley Deep RL Course CS294

• Host: GitHub
• URL: https://github.com/geyang/berkeley_deep_rl_solutions
• Owner: geyang
• License: mit
• Created: 2017-07-21T05:46:56.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-07-28T04:27:15.000Z (over 7 years ago)
• Last Synced: 2024-11-11T21:40:10.444Z (2 months ago)
• Language: Jupyter Notebook
• Size: 961 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
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course page: http://rll.berkeley.edu/deeprlcourse/

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# Solutions to Berkeley Deep RL CS294: That Comes with Batteries Included

Author: [Ge Yang](www.github.com/episodeyang)

This collection of solutions for the Berkeley course comes with the battery included. Namely, I have included a collection of scripts that makes the set up of the environment much much easier. 

I have already done it once, why not make it easy for every body?

So here you go! Get ready, take a deep breath. Now let's dive in!

# Doing

- [ ] Homework 4, get VPG to work

## Todo List

## Summary

###### Step 1: Setting Up

For setup instructions, go to folder [./_setup](./_setup).

###### Homework 1: Imitation Learning

Requirement: you install Mujoco 1.3 and tensorflow.