{"schema_version":"onlylabs.public_signal.v1","title":"Google (DeepMind / Gemini) Repo: google-deepmind/rlax","description":"Google (DeepMind / Gemini) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/26ba6068-383d-4900-917e-97eb7b7d052e","json_url":"https://onlylabs.fyi/signals/26ba6068-383d-4900-917e-97eb7b7d052e/signal.json","generated_at":"2026-06-11T03:56:59.655423+00:00","org":{"slug":"google-deepmind","name":"Google (DeepMind / Gemini)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/google-deepmind","dossier_json_url":"https://onlylabs.fyi/labs/google-deepmind/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/26ba6068-383d-4900-917e-97eb7b7d052e","signal_json":"https://onlylabs.fyi/signals/26ba6068-383d-4900-917e-97eb7b7d052e/signal.json","source":"https://github.com/google-deepmind/rlax","lab_dossier":"https://onlylabs.fyi/labs/google-deepmind","lab_dossier_json":"https://onlylabs.fyi/labs/google-deepmind/dossier.json","analysis":"https://onlylabs.fyi/analysis/google-deepmind","analysis_json":"https://onlylabs.fyi/analysis/google-deepmind/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/google-deepmind/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Google (DeepMind / Gemini) published google-deepmind/rlax (Python). 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Full documentation can be found at [rlax.readthedocs.io](https://rlax.readthedocs.io/en/latest/index.html). Installation You can install the latest released version of RLax from PyPI via: ```sh pip install rlax ``` or you can install the latest development version from GitHub: ```sh pip install git+https://github.com/deepmind/rlax.git ``` All RLax code may then be just in time compiled for different hardware (e.g. CPU, GPU, TPU) using `jax.jit`. In order to run the `examples/` you will also need to clone the repo and install the additional requirements: [optax](https://github.com/deepmind/optax), [haiku](https://github.com/deepmind/haiku), and..."},"evidence_pages":[{"url":"https://github.com/google-deepmind/rlax","final_url":"https://github.com/google-deepmind/rlax","title":"google-deepmind/rlax repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T03:56:59.655423+00:00","bytes":14862,"raw_path":"e735bb87c7c661d0c7daf0ce05fc8dd49499a133c9f0096dc86da45c2fa87556.json","content_hash":"dc35d7970372c832d16e1c07455e277a2b239578b1b5289aaee0d6c8d633e44b","excerpt_chars":1200,"truncated":true,"excerpt":"google-deepmind/rlax Language: Python License: Apache-2.0 Stars: 1428 Forks: 101 Open issues: 24 Created: 2020-02-18T07:14:59Z Pushed: 2026-06-10T14:01:50Z Default branch: main Fork: no Archived: no README: RLax ![CI status](https://github.com/deepmind/rlax/workflows/ci/badge.svg) ![docs](https://readthedocs.org/projects/rlax/badge/?version=latest) ![pypi](https://img.shields.io/pypi/v/rlax) RLax (pronounced \"relax\") is a library built on top of JAX that exposes useful building blocks for implementing reinforcement learning agents. 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