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Remember the sad Marvin from "Hitchhiker's guide to the galaxy"? In this project we train him to walk from the scratch using only pure python with numpy!

Python 99.91% Shell 0.09%
reinforcement-learning deep-learning from-scratch bipedalwalker 42projects openai-gym openai-gym-environment policy-gradients

walkingmarvin's Introduction

Walking Marvin (bipedal walker problem)

Remember the sad Marvin from "Hitchhiker's guide to the galaxy"? In this project we train him to walk from the scratch using only pure python with numpy!

gif_sad_marvin

Installation guide

To install Marvin environment and dependencies, please, run following shell script:

> ./install.sh

It installs python3.7 with all dependencies inside the virtualenv named venv.

To run Marvin, please, use the following commands:

> ./marvin.py <-r>

or

> source venv/bin/activate
> python3 marvin.py <-r>

Flag -r is used for running trained Marvin (by default pretrained model is used)

Methodology

As main model used fully-connected network as part of reinforce algorithm with policy gradient methodology.
Model predicts only mean of the actions distribution without standart deviation. Loss function consist only from predicted mean.

Results

Basically, Marvin starts from the folowing state:

gif_marvin1

The pretrained Marvin can walk in the next way:

gif_marvin1

And in the trained state he can moves with the next speed:

gif_marvin1

Bibliography

walkingmarvin's People

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