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NovaSky-AI avatar

NovaSky-AI/SkyRL

0
View on GitHub↗
1,611 stars·259 forks·Python·apache-2.0·13 viewsdocs.skyrl.ai/docs↗

SkyRL

Features

  • Reinforcement Learning - Full-stack RL library with modular training and inference.
  • Reinforcement Learning Frameworks - Reinforcement learning library for training reasoning models.

Star history

Star history chart for novasky-ai/skyrlStar history chart for novasky-ai/skyrl

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with SkyRL

These projects share indexed features with SkyRL. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • google/dopaminegoogle avatar

    google/dopamine

    10,879View on GitHub↗

    Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse simulated environments. It provides an agent development toolkit that utilizes a flat class hierarchy to facilitate the creation and extension of learning agents. The framework includes a standardization layer via environment wrappers that connect agents to various physics simulations and gaming environments. It also features a high-performance experience replay buffer for storing and sampling transition data to improve training stability, alongside a dedicated hyperparameter

    Jupyter Notebook
    View on GitHub↗10,879
  • aunum/goldaunum avatar

    aunum/gold

    351View on GitHub↗

    Reinforcement Learning in Go

    Go
    View on GitHub↗351
  • alibaba/rollalibaba avatar

    alibaba/ROLL

    2,844View on GitHub↗

    ROLL is a distributed reinforcement learning framework and model alignment toolkit designed for large language models. It serves as a scalable training pipeline and GPU cluster manager, providing the infrastructure to align model behavior using reinforcement learning algorithms and preference optimization techniques. The project distinguishes itself through an agentic rollout orchestrator that generates and collects multi-turn interaction trajectories between AI agents and simulated environments. It supports specialized alignment methods including Direct Preference Optimization, reinforcement

    Pythonagenticrlhfrlvr
    View on GitHub↗2,844
  • huggingface/trlhuggingface avatar

    huggingface/trl

    18,653View on GitHub↗

    This library provides a comprehensive framework for fine-tuning, aligning, and distilling transformer-based language models. It serves as a toolkit for adapting models to specialized domains through supervised learning, while offering advanced methodologies to improve output quality and reasoning capabilities. The project distinguishes itself through specialized alignment and optimization techniques, including direct preference optimization and reinforcement learning, which allow models to be tuned against human preferences without complex reward modeling. It further supports training efficie

    Python
    View on GitHub↗18,653
Compare all 30 related projects→

Frequently asked questions

What are the main features of novasky-ai/skyrl?

The main features of novasky-ai/skyrl are: Reinforcement Learning, Reinforcement Learning Frameworks.

Which projects share features with novasky-ai/skyrl?

Projects with overlapping indexed features include: google/dopamine — Dopamine is a reinforcement learning research framework designed for prototyping and testing algorithms across diverse… huggingface/trl — This library provides a comprehensive framework for fine-tuning, aligning, and distilling transformer-based language… alibaba/roll — ROLL is a distributed reinforcement learning framework and model alignment toolkit designed for large language models.… aunum/gold — Reinforcement Learning in Go. inclusionai/areal — AReaL is a system for agent orchestration, distributed model training, and parameter-efficient tuning. It provides a… instadeepai/jumanji — 🕹️ A diverse suite of scalable reinforcement learning environments in JAX.