A repo for Causal Imitation Learning under Temporally Correlated Noise

Related tags

Deep Learning causal_il
Overview

CausIL

A repo for Causal Imitation Learning under Temporally Correlated Noise.

Running Experiments

To re-train an expert, run:

python experts/train_expert.py -e {lunarlander, halfcheetah, ant}

To train a learner, run:

jupyter notebook

and open up LunarLander.ipynb and PyBullet.ipynb. This package supports training via Behavioral Cloning, DoubIL, and ResiduIL.

Visualizing Results

Run:

jupyter notebook

and open up vis.ipynb.

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Owner
Gokul Swamy
PhD Student @ CMU RI working on learning algorithms for interactive robots. MS from Berkeley. Summers @ Aurora Innovation, @NVIDIA, and @ SpaceX.
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