JackHopkins/factorio-learning-environment

FineEnvs — RL Environments 101: building and scaling RL environments in the age of LLMs

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

Fine-tune LLM agents with online reinforcement learning

An End-to-End Infrastructure for Training and Evaluating Various LLM Agents

🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

Democratizing Reinforcement Learning for LLMs

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

Evaluate and improve models and agents using environments

SkyRL: A Modular Full-stack RL Library for LLMs