/RLlib_TF2.0

Reinforcement learning library with Tensorflow 2.0

Primary LanguagePythonMIT LicenseMIT

RLlib_TF2.0: A Reinforcement library for Tensorflow 2.0

NOTE: Current library is under development and interfaces may change at any time.

Table of contents

Agents

Agents

IN RLlib_TF2.0, the policy determining algorithms are implemented on Agents. An agent requires two main points.

  1. environment to interact
  2. function approximator built with Tensorflow

Currently the following algorithms are available.