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Update links for the HuggingEnvs repo rename; add articles, talks and environments

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  1. README.md +35 -2
README.md CHANGED
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  ![HuggingEnvs Banner](https://cdn-uploads.huggingface.co/production/uploads/6442d975ad54813badc1ddf7/0bl7almg7W83qalL7U0BP.png)
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- [![πŸ’» Code](https://img.shields.io/badge/Code-RL_Envs_101-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/adithya-s-k/RL_Envs_101)
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- [![πŸ“– Guide](https://img.shields.io/badge/Guide-RL_Environments_101-FFD21E?style=for-the-badge&logo=huggingface&logoColor=black)](https://huggingface.co/spaces/AdithyaSK/rl-environments-guide)
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  [![πŸŽ₯ Slides](https://img.shields.io/badge/Slides-RL_Environments_101-6B4FBB?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/spaces/AdithyaSK/rl-environments-101-slides)
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  # πŸ€— HuggingEnvs: Open RL Environments
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  * πŸš€ **Demos and Spaces**
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  * πŸ“š **Tutorials and guides**
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  # HuggingEnvs Projects
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  A growing collection of open projects, environments, resources, and artifacts.
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  | **HuggingEnvs Academy** | Articles, guides, tutorials, slides, and hands-on resources for learning how to build RL environments and agent systems. | [Explore β†’](https://huggingface.co/collections/HuggingEnvs/huggingenvs-academy) |
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  | **Data Agent** | Training SLMs for data science with multi-harness RL environments. | [Explore β†’](https://huggingface.co/collections/HuggingEnvs/data-agent) |
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  ![HuggingEnvs Banner](https://cdn-uploads.huggingface.co/production/uploads/6442d975ad54813badc1ddf7/0bl7almg7W83qalL7U0BP.png)
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+ [![πŸ’» Code](https://img.shields.io/badge/Code-HuggingEnvs-181717?style=for-the-badge&logo=github&logoColor=white)](https://github.com/adithya-s-k/HuggingEnvs)
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+ [![πŸ“– Guide](https://img.shields.io/badge/Guide-The_Ultimate_Guide_to_RL_Environments-FFD21E?style=for-the-badge&logo=huggingface&logoColor=black)](https://huggingface.co/spaces/AdithyaSK/rl-environments-guide)
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  [![πŸŽ₯ Slides](https://img.shields.io/badge/Slides-RL_Environments_101-6B4FBB?style=for-the-badge&logo=huggingface&logoColor=white)](https://huggingface.co/spaces/AdithyaSK/rl-environments-101-slides)
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  # πŸ€— HuggingEnvs: Open RL Environments
 
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  * πŸš€ **Demos and Spaces**
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  * πŸ“š **Tutorials and guides**
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+ All the reproducible code β€” environments, rollouts, training configs, notebooks, article and slide sources β€” lives in one repo: **[github.com/adithya-s-k/HuggingEnvs](https://github.com/adithya-s-k/HuggingEnvs)**. The artifacts those produce live here on the Hub.
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  # HuggingEnvs Projects
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  A growing collection of open projects, environments, resources, and artifacts.
 
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  | **HuggingEnvs Academy** | Articles, guides, tutorials, slides, and hands-on resources for learning how to build RL environments and agent systems. | [Explore β†’](https://huggingface.co/collections/HuggingEnvs/huggingenvs-academy) |
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  | **Data Agent** | Training SLMs for data science with multi-harness RL environments. | [Explore β†’](https://huggingface.co/collections/HuggingEnvs/data-agent) |
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+ # Articles & Talks
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+ | | What it covers | Read / Watch |
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+ | :--- | :--- | :--- |
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+ | πŸ“– **The Ultimate Guide to RL Environments** | Building and scaling RL environments in the LLM era β€” how frameworks are built, how rewards are wired, how they scale to thousands of concurrent sessions. | [Read β†’](https://huggingface.co/spaces/AdithyaSK/rl-environments-guide) |
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+ | 🎞️ **RL Environments 101** | From "what is an env?" to training your own: RL fundamentals β†’ environment anatomy β†’ OpenEnv β†’ training with TRL. | [Watch β†’](https://huggingface.co/spaces/AdithyaSK/rl-environments-101-slides) |
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+ | πŸ“ˆ **Scaling RL for LLMs** | RL environments and RL training β€” what an environment is, how reward hacking happens, how to train against your own. AMD AI Dev Day. | [Watch β†’](https://huggingface.co/spaces/AdithyaSK/scaling-rl-for-llms-amd-ai-dev-day) |
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+ | πŸ”€ **Multi-Harness Training** | OpenEnv Γ— Harbor β€” why an environment's failure model decides whether it can be trained against. | [Watch β†’](https://huggingface.co/spaces/AdithyaSK/multi-harness-training-slides) |
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+ # Environments
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+ Three reference environments, each implemented across six frameworks β€” `openenv`, `ors`, `nemo_gym`, `verifiers`, `skyrl_gym`, `gem`. Same logic, six dialects. [Source β†’](https://github.com/adithya-s-k/HuggingEnvs/tree/main/00-environments-101)
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+ | Environment | Tools | OpenEnv | ORS | NeMo Gym |
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+ | :--- | :--: | :--- | :--- | :--- |
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+ | **Jupyter agent** β€” real code execution in an E2B sandbox | 4 | [Space](https://huggingface.co/spaces/AdithyaSK/jupyter-agent-openenv) | [Space](https://huggingface.co/spaces/AdithyaSK/jupyter-agent-ors) | [Space](https://huggingface.co/spaces/AdithyaSK/jupyter-agent-nemo-gym) |
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+ | **Wordle** β€” multi-turn, pure Python, no backend | 1 | [Space](https://huggingface.co/spaces/AdithyaSK/wordle-openenv) | [Space](https://huggingface.co/spaces/AdithyaSK/wordle-ors) | [Space](https://huggingface.co/spaces/AdithyaSK/wordle-nemo-gym) |
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+ | **Desktop** β€” computer-use, vision-driven Linux desktop | 19 | [Space](https://huggingface.co/spaces/AdithyaSK/desktop-openenv) | [Space](https://huggingface.co/spaces/AdithyaSK/desktop-ors) | β€” |
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+ # Build your own
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+ Five agent skills turn a plain-English description into a runnable RL environment across four frameworks β€” works with Claude Code, Cursor, Codex, OpenCode, Gemini CLI and others.
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+ ```bash
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+ npx skills add adithya-s-k/HuggingEnvs
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+ ```
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+ **We're looking for new end-to-end recipes** β€” a task, an environment, a training run, and honest results. [Contributing guide β†’](https://github.com/adithya-s-k/HuggingEnvs/blob/main/CONTRIBUTING.md)