Popular GitHub Repositories for Cooperative Coevolution

? CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org

A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.

A benchmark environment for fully cooperative human-AI performance.

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

[ICCV 2023] Implicit Neural Representation for Cooperative Low-light Image Enhancement

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

A decentralized agent network for building collaborative, LLM-powered agent-to-agent (A2A) systems.

PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

Official code for paper "Learning to Use Tools via Cooperative and Interactive Agents"

[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

AAAI24(Oral) ProAgent: Building Proactive Cooperative Agents with Large Language Models

Synthora is a lightweight, extensible framework for LLM-driven agents and ALM research. It provides the essential components to build, test, and evaluate agents, enabling you to assemble an agent with a single configuration file. Our goal is to minimize effort while delivering robust functionality.

Knowledge Base Embedding By Cooperative Knowledge Distillation

[ICRA2024] Official code of the paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter"

(2023 ITSM) Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges

Dynamic multi-cell selection for cooperative multipoint (CoMP) using (multi-agent) deep reinforcement learning

[NeurIPS 2020] PyTorch implementation of "Learning Implicit Credit Assignment for Cooperative Muti-Agent Reinforcement Learning"