This is a Python implementation of CBBA (Consensus-Based Bundle Algorithm).

Implementation of Consensus Based Bundle Algorithm (CBBA) with python

[EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.

Multi-Agent Reinforcement Learning for UAV-USV Cooperative Task Allocation in Offshore Wind Farms

multi agent path finding and pickup and delivery (combined task allocation and path finding). work going on precendence constrained task allocation and path finding (PC-TAPF)

Task Allocation Strategy to distribute goals in a fleet considering, goals makespan, goals position, robot capabilities and redundancy in the sensory system.

Animal behavior based on agents simulation

A research-grade Python implementation of decentralized multi-agent coordination using auction-based task allocation, designed for autonomous robotics and AI studies.

A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems

Simulation demo: coordinating a small fleet of UAVs to suppress fires on upper floors of a 130-floor building (facade operations only). **Goal:** a clean, auditable baseline for planning, allocation, safety logic, and simple performance metrics. **Python 3.10+**

AI Explainability Service for Task Allocation Models, specially focused on the aeriOS High-Level Orchestrator (HLO) models

2D simulation of multi-robot task allocation using CBBA, RVO2 and A* — built from scratch in Python

Drone task allocation simulation

Implementation of the Consensus-Based Auction Algorithm (CBAA) for multi-agent task allocation. Features both centralized and decentralized distributed models.