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README.md

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

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

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