Options for Planning and Reinforcement Learning.
Code for experiments on generating options for planning and reinforcement learning in our 2019 ICML papers:
The code is written in Python 3. The code is dependent on numpy, scipy, and networkx. To solve MOMI optimally, ortools is required. simple_rl is a library for running RL experiments developed by David Abel. As I made a few tweaks to it, I'm putting the whole code in this repository here.
graph: approximation algorithms in graph algorithm literature. option_generation: option generation algorithms. experiments: Scripts to replicate experiments in papers.
python3 options/experiments/planning_experiments.py python3 options/experiments/rl_experiments.py
Yuu Jinnai firstname.lastname@example.org
Simple RL is developed by David Abel.