AI-Econimist trained with PPO and Interpretable Decision Trees

Project goal

Train AI-Economist agents with PPO (as in the paper) and the social planner with interpretable decision trees, then compare the results.

AI-Economist

The AI Economist: Optimal Economic Policy Design via Two-level Deep Reinforcement Learning

Algorithms

Proximal Policy Optimization Algorithms
Evolutionary learning of interpretable decision trees

3 Levels Reinforcement Learning

Scaling Multi-Agent Reinforcement Learning
Ray multi agents two trainers

Installation instructions

Installing from Source

1. Clone this repository to your machine
   git clone https://github.com/sa1g/ai-economist-ppo-decision-tree
2. Create a new conda environment and activate it
   conda create --name ai-economist python=3.7 --yes
conda activate ai-economist
3. Install dependencies
   pip install -r requirementsUpdated.txt
4. The 3 Levels custom training is located at
   ai-economist/tutorials/rllib/training_2_algos.py