---
id: "/non-llm-neural-networks-ml-foundations/reinforcement-learning/"
title: "reinforcement learning: 41 curated resources"
url: "https://skillissue.dev/non-llm-neural-networks-ml-foundations/reinforcement-learning/"
---

# reinforcement learning: 41 curated resources

reinforcement learning

[Beginner](/non-llm-neural-networks-ml-foundations/beginner/index.md) [Intermediate](/non-llm-neural-networks-ml-foundations/intermediate/index.md) [Advanced](/non-llm-neural-networks-ml-foundations/advanced/index.md) [Expert](/non-llm-neural-networks-ml-foundations/expert/index.md)

41 resources · page 1 of 2

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### [AlphaChip (circuit_training)](/foundations/llm-fundamentals/alphachip-circuit-training/index.md)

by [Google Research](https://research.google)

Google Research circuit_training GitHub repo: AlphaChip framework for chip floorplanning with reinforcement learning.

entity repo West en 

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### [AlphaDev](/foundations/llm-fundamentals/alphadev/index.md)

by [Google DeepMind](https://www.deepmind.com/)

DeepMind AlphaDev GitHub repo: pseudocode and algorithms from the faster sorting algorithms paper.

entity repo UK en 

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### [google-deepmind/alphatensor](/foundations/llm-fundamentals/alphatensor-2/index.md)

by [Google DeepMind](https://www.deepmind.com/)

DeepMind AlphaTensor GitHub repo: code for discovering faster matrix multiplication algorithms with RL.

entity repo UK en 

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### [Awex](/foundations/llm-fundamentals/awex/index.md)

by [inclusionAI](https://inclusion-ai.org)

inclusionAI Awex GitHub repo: weight synchronisation between RL training and inference engines.

entity repo China en 

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### [DeepSeek-R1](/foundations/llm-fundamentals/deepseek-r1-technical-repository/index.md)

by [DeepSeek](https://www.deepseek.com/)

DeepSeek-R1 GitHub repo: model summary, evaluation and usage for DeepSeek-R1 and R1-Zero reasoning models.

entity repo China zh 

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### [FinRL](/foundations/llm-fundamentals/finrl/index.md)

by [AI4Finance Foundation](https://ai4finance.org)

FinRL GitHub repo (AI4Finance): financial reinforcement learning framework for trading.

entity repo Global en 

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### [Flow](/foundations/llm-fundamentals/flow/index.md)

by [flow-project](https://github.com/flow-project)

Flow (UC Berkeley): framework combining traffic simulation and deep RL for mixed-autonomy traffic control.

entity repo US en 

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### [Gymnasium](/foundations/llm-fundamentals/gymnasium/index.md)

by [Farama Foundation](https://farama.org/)

Gymnasium documentation: standard API and reference environments for reinforcement learning (formerly OpenAI Gym).

entity org West en 

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### [Mava](/foundations/llm-fundamentals/mava/index.md)

by [InstaDeep Ltd](https://instadeep.com)

InstaDeep Mava GitHub repo: codebase for experiments in multi-agent reinforcement learning.

entity repo UK/Tunisia en 

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### [MS-SWIFT](/foundations/llm-fundamentals/ms-swift/index.md)

by [ModelScope](https://www.modelscope.cn/)

ModelScope ms-swift GitHub repo: framework for PEFT and full fine-tuning, DPO and GRPO of 600+ LLMs.

entity repo China zh 

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### [OpenAI Spinning Up](/foundations/llm-fundamentals/openai-spinning-up/index.md)

by [OpenAI](https://openai.com/)

OpenAI Spinning Up: educational guide to deep reinforcement learning with algorithm explanations and code.

entity org West en 

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### [OpenRLHF](/foundations/llm-fundamentals/openrlhf/index.md)

by [OpenRLHF](https://github.com/OpenRLHF)

OpenRLHF GitHub repo: Ray and vLLM based framework for RLHF and agentic RL training.

entity repo China en|zh 

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### [OpenSpiel](/foundations/llm-fundamentals/openspiel/index.md)

by [Google DeepMind](https://www.deepmind.com/)

DeepMind OpenSpiel GitHub repo: environments and algorithms for reinforcement learning and search in games.

entity repo West en 

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### [slime](/foundations/llm-fundamentals/slime/index.md)

by [THUKEG](https://huggingface.co/THUDM)

THUDM slime GitHub repo: Megatron and SGLang based framework for RL post-training at scale, used for GLM.

entity repo China en 

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### [THUDM (Tsinghua KEG) GitHub](/foundations/llm-fundamentals/thudm-tsinghua-keg-github/index.md)

by [THUKEG](https://huggingface.co/THUDM)

THUDM GitHub organisation (Tsinghua KEG and Zhipu): code for ChatGLM, GLM-4, CogVLM, CogVideoX and AgentBench.

entity lab China en 

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### [verl](/foundations/llm-fundamentals/verl/index.md)

by [verl-project](https://github.com/verl-project)

verl GitHub repo (originally ByteDance): RL post-training framework used for RLVR.

entity repo China en|zh 

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### [verl / HybridFlow](/foundations/llm-fundamentals/verl-hybridflow/index.md)

by [verl-project](https://github.com/verl-project)

verl GitHub repo: HybridFlow framework for distributed RL post-training of LLMs.

entity repo China; Singapore; international zh 

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### [HF Deep RL Course](/foundations/llm-fundamentals/hf-deep-rl-course/index.md)

by [Hugging Face](https://huggingface.co/)

Hugging Face Deep Reinforcement Learning Course: free course on RL theory and practice with hands-on units.

Beginner–Intermediate learning_resource course US/France en 

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### [Unsloth RL / GRPO guide](/foundations/llm-fundamentals/unsloth-rl-grpo-guide/index.md)

by [Unsloth AI](https://unsloth.ai/)

Unsloth reinforcement learning guide: training reasoning models with GRPO, with linked tutorials and advanced RL docs.

Beginner–Intermediate learning_resource guide Australia/US en 

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### [AlphaGo](/foundations/llm-fundamentals/alphago/index.md)

by [Google DeepMind](https://deepmind.google/)

Google DeepMind AlphaGo page covering the Go-playing system, its matches and the research papers behind it.

Intermediate learning_resource blog UK en 

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### [AlphaStar: Mastering the real-time strategy game StarCraft II](/foundations/llm-fundamentals/alphastar-2/index.md)

by [Google DeepMind](https://deepmind.google/)

Google DeepMind post on AlphaStar, the reinforcement-learning system that reached Grandmaster level in StarCraft II.

Intermediate learning_resource blog UK en 

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### [Easy-RL / 蘑菇书](/foundations/llm-fundamentals/easy-rl/index.md)

by [Datawhale](https://datawhale.cn)

Datawhale Easy-RL GitHub repo: Chinese reinforcement-learning tutorial (Mushroom Book) with code.

Intermediate learning_resource course China zh 

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### [YSDA Practical RL](/foundations/llm-fundamentals/ysda-practical-rl/index.md)

by [Yandex School of Data Analysis](https://yandexdataschool.com)

YSDA Practical_RL GitHub repo: open reinforcement-learning course with notebooks and assignments from HSE and YSDA.

Intermediate–Advanced learning_resource course Russia en|ru 

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### [Agent57](/foundations/llm-fundamentals/agent57/index.md)

by [Adrià Puigdomènech Badia et al. (Google)](https://ai.google/)

arXiv paper (2020) introducing Agent57, the first agent to exceed the human baseline on all 57 Atari games.

Advanced–Expert learning_resource paper UK en 

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### [Faster sorting algorithms discovered using deep reinforcement learning (AlphaDev)](/foundations/llm-fundamentals/alphadev-faster-sorting/index.md)

by [Daniel J. Mankowitz et al. (Google DeepMind)](https://deepmind.google/)

Nature paper (2023) on AlphaDev discovering faster sorting algorithms with deep RL.

Advanced–Expert learning_resource paper West en 

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### [Mastering the game of Go with deep neural networks and tree search (AlphaGo)](/foundations/llm-fundamentals/alphago-nature-2016/index.md)

by [David Silver et al. (DeepMind)](https://deepmind.google/)

Nature paper (2016) on AlphaGo, mastering Go with deep neural networks and tree search.

Advanced–Expert learning_resource paper West en 

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### [Grandmaster level in StarCraft II using multi-agent reinforcement learning (AlphaStar)](/foundations/llm-fundamentals/alphastar/index.md)

by [Oriol Vinyals et al. (DeepMind)](https://deepmind.google/)

Nature paper (2019) on AlphaStar reaching grandmaster level in StarCraft II with multi-agent RL.

Advanced–Expert learning_resource paper West en 

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### [Discovering faster matrix multiplication algorithms with reinforcement learning (AlphaTensor)](/foundations/llm-fundamentals/alphatensor/index.md)

by [Alhussein Fawzi et al. (Google DeepMind)](https://deepmind.google/)

Nature paper (2022) on AlphaTensor discovering faster matrix multiplication algorithms with RL.

Advanced–Expert learning_resource paper West en 

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### [AlphaZero](/foundations/llm-fundamentals/alphazero/index.md)

by [David Silver et al. (DeepMind)](https://deepmind.google/)

arXiv paper (2017) introducing AlphaZero, mastering chess and shogi through self-play reinforcement learning.

Advanced–Expert learning_resource paper West en 

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### [DQN (Atari)](/foundations/llm-fundamentals/dqn-atari/index.md)

by [Volodymyr Mnih et al. (Google DeepMind)](https://deepmind.google/)

arXiv paper (2013) "Playing Atari with Deep Reinforcement Learning", introducing DQN, deep Q-learning from pixels on Atari games.

Advanced–Expert learning_resource paper West en 

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### [DreamerV3](/foundations/llm-fundamentals/dreamerv3/index.md)

by [Danijar Hafner et al. (Google DeepMind)](https://deepmind.google/)

arXiv paper (2023) introducing DreamerV3, a world-model RL agent that masters diverse domains with fixed settings.

Advanced–Expert learning_resource paper West en 

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### [IMPALA](/foundations/llm-fundamentals/impala/index.md)

by [Lasse Espeholt et al. (Google)](https://ai.google/)

arXiv paper (2018) introducing IMPALA, a scalable distributed deep RL architecture.

Advanced–Expert learning_resource paper UK en 

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