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0.1.3 effective_horizon-0.1.3-py3-none-any.whl

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Project: effective-horizon
Version: 0.1.3
Filename: effective_horizon-0.1.3-py3-none-any.whl
Download: [link]
Size: 69560
MD5: 97efd8e19c1709e1d9bf74aedbc478a4
SHA256: bc0f5f2136992a9460e7a08a87a7860c9ad08e132d01012822121a5c81d2eb29
Uploaded: 2024-04-19 22:54:48 +0000

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METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: effective-horizon
Version: 0.1.3
Summary: Code for the NeurIPS 2023 paper "Bridging RL Theory and Practice with the Effective horizon" and the ICLR 2024 paper "The Effective Horizon Explains Deep RL Performance in Stochastic Environments".
Author-Email: Cassidy Laidlaw <cassidy_laidlaw[at]berkeley.edu>
Project-Url: Homepage, https://github.com/cassidylaidlaw/effective-horizon
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Requires-Python: >=3.8
Requires-Dist: sacred (>=0.8.2)
Requires-Dist: torch (>=1.10.0)
Requires-Dist: minigrid (<2.3,>=2.2)
Requires-Dist: gymnasium[atari]
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Provides-Extra: dev
Provides-Extra: rllib
Provides-Extra: sb3
Description-Content-Type: text/markdown
[Description omitted; length: 21035 characters]

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top_level.txt

effective_horizon