Sectar

Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

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Install / Use

/learn @wyndwarrior/Sectar

About this skill

Quality Score

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README

SeCTAr

Code for Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings

Running

Experiment scripts are in exps/, environments are located under traj2vec/envs, main algorithms are in traj2vec/algos/vaepdentropy.py and traj2vec/algos/vae_bc.py

Installation

Download
- sectar
- rllab
- doodad
- baselines
Add these repos to your python path and follow instructions for setting them up.
Install Mujoco instructions here
Modify traj2vec/launchers/config.py to point to the appropiate paths.
Create the conda env sectar with

conda env create -f environment.yml

Logging

The log dir for the scripts is set to data. You can plot recorded results by giving the exp log dir to traj2vec/viskit/frontend.py.

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