🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
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Updated
Dec 21, 2023 - Python
🌟 The Multi-Agent Framework: Given one line Requirement, return PRD, Design, Tasks, Repo
Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
A Platform for Many-Agent Reinforcement Learning
ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.
This is the official implementation of Multi-Agent PPO (MAPPO).
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
Awesome Game AI materials of Multi-Agent Reinforcement Learning
A collection of multi agent environments based on OpenAI gym.
[ICLR 2023] Come & try Decision-Intelligence version of "Agar"! Gobigger could also help you with multi-agent decision intelligence study.
PyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Streamlining reinforcement learning with RLOps
Trajectory Planner in Multi-Agent and Dynamic Environments
API to run VirtualHome, a Multi-Agent Household Simulator
[AAAI 2023] Official PyTorch implementation of paper "ACE: Cooperative Multi-agent Q-learning with Bidirectional Action-Dependency".
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
VMAS is a vectorized framework 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.
A completely private, locally-operated, highly customizable Ai Assistant/Chatbot/Sub-Agent Framework with realistic Long Term Memory and thought formation using Llama 2 or Open Ai's GPT. Qdrant is used for the Vector DB.
A framework for autonomous economic agent (AEA) development
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