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multiagent
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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.
Build production-ready AI agents in both Python and Typescript
✨ ml engineering agent that builds ml models in natural language
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Agentic-RAG explores advanced Retrieval-Augmented Generation systems enhanced with AI LLM agents.
A parallel framework for population-based multi-agent reinforcement learning.
A compilation of the best multi-agent papers
The fastest way to bring multi-agent workflows to production.
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
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)
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
MVP of an idea using multiple local LLM models to simulate and play D&D