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PlaNet

This repo contains some naive implementations (only RSSM) of a purely model-based reinforcement learning algorithm that solves control tasks from images by efficient planning in a learned latent space.

walker-walk cartpole-balance cheetah-run

Installation

To install this project, simply run the following command after cloning the repo:

pip install poetry
make install

Method

This project implements Learning Latent Dynamics for Planning from Pixels (RSSM) (Hafner et al., 2019)

Run

To run the training script

cd scripts
python trainer.py --config config/path/here

To run the evaluation script

cd scripts
python tester.py --config config/path/here