This repository contains scripts and source code for the experiments presented in Animal-AI 3: What's New & Why You Should Care.
In this repository, you will find:
- The configuration files mentioned in the paper (
configs
). - Jupyter notebooks to run experiments with Random Action Agents, Heuristic Agents, and Proximal Policy Optimisation (PPO) (
heuristicAgent
,ppo
,randomActionAgent
) with an accompanying condaenvironment.yml
file for replicating. - Scripts to run the dreamer agent on a headless server (
dreamer
). - Saved versions of the PPO agents used in the paper. The dreamer agents are too large to store here - email the authors if you want the saved models for further work (
modelsaves
). - Full datasets and analysis pipelines for the results presented in the paper (
analysis
). - Source code with helper functions for some scripts (
aaisrc
).