🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org
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Updated
May 20, 2024 - Python
🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Language Model Society (NeruIPS'2023) https://www.camel-ai.org
Harness LLMs with Multi-Agent Programming
Python implementation of a bunch of multi-robot path-planning algorithms.
A fast and lightweight framework for creating decentralized agents with ease.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Let's reproduce paper simulations of multi-robot systems, formation control, distributed optimization and cooperative manipulation.
(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.
灰狼优化算法(GWO)路径规划/轨迹规划/轨迹优化、多智能体/多无人机航迹规划
Build high-performance AI models with modular building blocks
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!
A framework for autonomous economic agent (AEA) development
Lightweight multi-agent gridworld Gym environment
A zeroconf peer-to-peer mesh VPN using Wireguard® and Interactive Connectivity Establishment (ICE)
OpenMAS is an open source multi-agent simulator based in Matlab for the simulation of decentralized intelligent systems defined by arbitrary behaviours and dynamics.
Implementation of Optimal Auctions through Deep Learning
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