🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
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Updated
Jul 21, 2024 - Python
🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. 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.
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
Build high-performance AI models with modular building blocks
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!
(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.
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
A framework for autonomous economic agent (AEA) development
Lightweight multi-agent gridworld Gym environment
LUI: Autonomous Collective Decision Making via Large Language Models
PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training frameworks for reinforcement learning (RL). https://arxiv.org/abs/2111.05969
A framework for the creation of autonomous agent services.
A framework for open autonomous economic agent (AEA) development - no package vendor is prioritised over other package vendors
Modelling of multi-agent-system as Kripke structure and implementation of its knowledge-base with modal logic formulas.
A tool for aggregating and plotting MARL experiment data.
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