howto.rl.agent.001.rst

Howto RL-AGENT-001: Run an Agent with Own Policy

.. automodule:: mlpro.rl.examples.howto_rl_agent_001_run_agent_with_own_policy_on_gym_environment

Prerequisites

Please install the following packages to run this examples properly:

• OpenAI Gym

Executable code

.. literalinclude:: ../../../../../../../../src/mlpro/rl/examples/howto_rl_agent_001_run_agent_with_own_policy_on_gym_environment.py
        :language: python

Results

The OpenAI Gym cartpole window appears and shows a randowm behavior while the demo run is logged on the console. Demo should terminate after 61 cycles because of the fixed random seed.

Cross Reference

• :ref:`API Reference - RL Agent <target_api_rl_agents>`
• :ref:`API Reference - RL Environments <target_api_rl_env>`
• :ref:`API Reference - RL Scenario and Training <target_api_rl_run_train>`