🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
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Updated
Mar 18, 2026 - Python
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
This repository contains code, resources, and documentation for the workshop "Building a Multi-Agent Workforce with Azure AI Foundry".
🧠 Automate literature reviews using LangChain and Google's Generative AI. This project fetches papers via the Papers with Code API, extracts content from PDFs, and generates concise summaries to streamline academic research.
A comprehensive collection of production-ready AI agent applications featuring single agents, multi-agent teams, and autonomous game-playing systems built with Phidata, CrewAI, LangChain, and Google ADK using OpenAI, Anthropic, Google, and open-source LLMs.
AEROS: A Runtime Architecture for Embodied Agents with Installable Capability Modules
Single-Agent Pathfinding Visualizer
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