Skip to main content

Reinformcement Learning library

Project description

RockRL

Reinforcement Learning library for public, for now, it only supports TensorFlow.

Installation

pip install rockrl

Environment requirements

RL algorithms are implemented to support gymnasium==0.29.1 version. Main requirements are that:

  • env.reset() would return state and info states.
  • env.step(action) would return state, reward, terminated, truncated, info states.

Supported Algorithms

  • PPO (Discrete and Continuous)

Code Examples

Proximal Policy Optimization (PPO):

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

rockrl-0.4.6.tar.gz (13.1 kB view hashes)

Uploaded Source

Built Distribution

rockrl-0.4.6-py3-none-any.whl (18.4 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page