#大语言模型#Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
#大语言模型#Build production-ready AI agents in both Python and Typescript.
#计算机科学#✨ Build a machine learning model from a prompt
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
A compilation of the best multi-agent papers
A parallel framework for population-based multi-agent reinforcement learning.
#大语言模型#The fastest way to bring multi-agent workflows to production.
#大语言模型#基于大语言模型(LLM)和多智能体(Multi-Agent)，探究AI写小说能力的边界
Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
#自然语言处理#A ReAct-Based Highly Robust Autonomous Agent Framework.
[ICRA2023] CoAlign: Robust Collaborative 3D Object Detection in Presence of Pose Errors
A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
some Multiagent enviroment in 《Multi-agent Reinforcement Learning in Sequential Social Dilemmas》 and 《Value-Decomposition Networks For Cooperative Multi-Agent Learning》
Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)
#学习与技能提升#A framework to empower forecasting using Large Language Models (LLMs)
Code for the paper Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
#大语言模型#MVP of an idea using multiple local LLM models to simulate and play D&D