Homomorphically Encrypted Reinforcement Learning
This repository is associated with 25 CDC submission by J Suh, Y Jang, K Teranishi, T Tanaka.
- To start, please use conda environment with python=3.9, and specify numpy, matplotlib, jupyter, sympy, tqdm when creating (alternatively, you can use the .yml file to copy the environment).
- To generate data and plots in the code, you may run "enc_vi_experiment_v1.py". "enc_vi_experiment_v3.py".