MLGym A New Framework and Benchmark for Advancing AI Research Agents
☆612Aug 10, 2025Updated 11 months ago
Alternatives and similar repositories for MLGym
Users that are interested in MLGym are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS'25] Official codebase for "SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution"☆712Mar 16, 2025Updated last year
- Code for Paper: Training Software Engineering Agents and Verifiers with SWE-Gym [ICML 2025]☆709Jul 29, 2025Updated 11 months ago
- OpenAI Frontier Evals☆1,262Apr 21, 2026Updated 3 months ago
- [NeurIPS 2025 Spotlight] Reasoning Environments for Reinforcement Learning with Verifiable Rewards☆1,464Apr 17, 2026Updated 3 months ago
- RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.☆2,756Apr 14, 2026Updated 3 months ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆16Jul 16, 2024Updated 2 years ago
- ☆70Mar 30, 2025Updated last year
- Our library for RL environments + evals☆4,400Updated this week
- MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering☆1,655Apr 24, 2026Updated 3 months ago
- AIRA-dojo: a framework for developing and evaluating AI research agents☆154Apr 14, 2026Updated 3 months ago
- Official repo for paper DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning.☆393Feb 22, 2025Updated last year
- SkyRL: A Modular Full-stack RL Library for LLMs☆2,088Updated this week
- Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks☆271May 5, 2025Updated last year
- ☆19Mar 16, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- AIDE: AI-Driven Exploration in the Space of Code. The machine Learning engineering agent that automates AI R&D.☆1,442Jul 15, 2026Updated last week
- Democratizing Reinforcement Learning for LLMs☆5,727Updated this week
- Ranking LLMs on agentic tasks☆224May 21, 2026Updated 2 months ago
- An agent benchmark with tasks in a simulated software company.☆751Nov 17, 2025Updated 8 months ago
- Understanding R1-Zero-Like Training: A Critical Perspective☆1,268Aug 27, 2025Updated 10 months ago
- Official Implementation of `An Optimisation Framework for Unsupervised Environment Design` from RLC 2025☆17Nov 24, 2025Updated 8 months ago
- This repo contains the dataset and code for the paper "SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software E…