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RoboticsProject

This is our project for CSE 571. We implemented Deep Ensemble, Differentiable Particle Filter and a simple behavior cloning algorithm on cartpole system.

  • The master branch is for DPF. For the other two algorithms, please checkout to the corresponding branch.
  • To generate data for training, please checkout the data/ folder for more details.

step 1: Deep Ensembles estimation

Adapted Tensorflow code from this repo.
Tested on sinusoidal toy dataset.

step 2: Differentiable Particle Filters estimation

Original implementation from the authors.

We provided pretrained models for DPF, to run the recurrent model

python cartpole_test.py --mode rec

run the end-to-end model

python cartpole_test.py --mode e2e

step 3: behavior cloning