Metadata-Version: 2.4
Name: scire
Version: 0.1.1
Summary: Seeking Curiosity Intrinsic Reward, and Empowerment.
Author: Tojoarisoa Rakotoaritina
License-Expression: MIT
Project-URL: Homepage, https://github.com/Tojoarisoa/scire
Project-URL: Repository, https://github.com/Tojoarisoa/scire
Keywords: reinforcement-learning,intrinsic-reward,exploration,jax,empowerment,curiosity,novelty,surprise
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: jax>=0.4.27
Requires-Dist: jaxlib>=0.4.27
Requires-Dist: flax>=0.8.0
Requires-Dist: chex>=0.1.80
Requires-Dist: numpy
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: build; extra == "dev"
Requires-Dist: twine; extra == "dev"
Dynamic: license-file

# SCIRE

**S**eeking **C**uriosity **I**ntrinsic **R**eward, and **E**mpowerment.

*Scire* is Latin for "to know", fitting for agents driven by curiosity (to know the unknown)
and empowerment (to know how to control it).
