heterogeneous-agents

A comprehensive autonomous decentralized systems framework for AI control architects.

Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat

Computation lab

Clean, documented implementations of PPO-based algorithms for cooperative multi-agent reinforcement learning, focusing on SMAC environments. Features MLP and RNN-based MAPPO and HAPPO with various techniques.

EGMn: The Sequential Endogenous Grid Method, Alan Lujan's public paper and code repo

Sample code for computing the Aiyagari (1994) model in CUDA (GPU). Hope it is useful for those interested in parallelizing quantitative macroeconomics models.

Analysis and implementation of a modified training environment from the paper "Imitation Learning over Heterogeneous Agents with Restraining Bolts." (De Giacomo et al, 2020)

EMINN implementation of Krusell-Smith model with neural network solutions.

Heterogenous Agents Resources & toolKit

Material for my Master Thesis | Summer Term 2023 | University of Bonn

Journal of Math Econ (2024)

Public fork of HARK_ABM_INTRO

PanCode is a fast open-source runtime for autonomous multi-agent workflows. Each agent in the fleet runs its own model and provider, shares context through a registry, and operates within configurable safety constraints. Multi-model. Multi-provider. Self-evolving. Built on Bun.

Coordinate Matrix chat, AI assistants, and admin control in one workspace for teams that need long-running work and task history

Heterogeneous Households: Individual Agent Dynamics in AI-Driven Labor Markets (SFC-ABM)

Public version of HAFiscal project

Code for the Spring 2023 NBER heterogeneous-agent macro workshop

Demonstrations of how to use material in the Econ-ARK

Replication of Krusell and Smith (1998) heterogeneous-agent business cycle model

Julia programs associated with notes on heterogeneous agent macro (v2)