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Rl Environments Python Packages

Python packages with the GitHub topic rl-environments. Sorted by relevance, with stars and monthly downloads.
harbor-framework
harbor-rewardkit

Harbor is a framework for running agent evaluations and creating and using RL environments.

122K 2K 1K
Achronus
envrax

Gymnasium-style API standard for RL environment creation in JAX

5K 5 0
stelioszach03
verifiable-labs

RL environments for scientific AI agents with conformal-calibrated rewards

1K 0 0
epignatelli
helx

Interoperate among reinforcement learning libraries with jax, pytorch, gym and dm_env

948 9 6
stelioszach03
vlabs-calibrate

RL environments for scientific AI agents with conformal-calibrated rewards

787 0 0
stelioszach03
verifiable-labs-envs

RL environments for scientific AI agents with conformal-calibrated rewards

787 0 0
stelioszach03
verifiable-labs-code-humaneval-multiturn

RL environments for scientific AI agents with conformal-calibrated rewards

403 0 0
X-LANCE
mobile-env-rl

A Universal Platform for Training and Evaluation of Mobile Interaction

299 62 6
epignatelli
helx-base

Interoperating between (Deep) Reiforcement Learning libraries

145 9 6
    • Data from PyPI, GitHub, ClickHouse, and BigQuery