The repository provides two minimal examples of Markov Ensemble discussed in the paper "Towards Interactive Training of Non-Player Characters in Video Games" (http://arxiv.org/abs/1906.00535) presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA.
- Igor Borovikov - [email protected]
- Jesse Harder - [email protected]
- common/ - a source of code files used throughout the project.
- examples/ - contains two example demonstrations that can be run: lunar_lander and mountain_car.
- notebooks/ - contains a Jupyter Notebook and various files produced by the notebook regarding performance in the example environments.
To run the examples in this project, navigate to the desired folder under examples/. Within either lunar_lander/ or mountain_car/, run python interactively_trainable_agent.py. Each folder contains a readme with more information on running that example.
Modified BSD License (3-Clause BSD license) see the file LICENSE in the project root.