#大语言模型#Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
翻译 - OpenSpiel是用于一般强化学习和游戏搜索/计划研究的环境和算法的集合。
#大语言模型#Build production-ready AI agents in both Python and Typescript
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
翻译 - 多智能体强化学习组件和系统库
A parallel framework for population-based multi-agent reinforcement learning.
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
A compilation of the best multi-agent papers
#大语言模型#The fastest way to bring multi-agent workflows to production.
Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks
#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
#自然语言处理#An ultra-lightweight agentic AI framework based on the ReAct paradigm.
[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
🛸 An implementation of multi-agent flocking formation control with specific formations that can follow a target without collision and can avoid obstacles.