# Copyright (c) 2020, RTE (https://www.rte-france.com)
# See AUTHORS.txt
# This Source Code Form is subject to the terms of the Mozilla Public License, version 2.0.
# If a copy of the Mozilla Public License, version 2.0 was not distributed with this file,
# you can obtain one at http://mozilla.org/MPL/2.0/.
# SPDX-License-Identifier: MPL-2.0
# This file is part of L2RPN Baselines, L2RPN Baselines a repository to host baselines for l2rpn competitions.
from l2rpn_baselines.utils import DeepQAgent
DEFAULT_NAME = "LeapNetEncoded"
[docs]class LeapNetEncoded(DeepQAgent):
"""
Inheriting from :class:`l2rpn_baselines.utils.deepQAgent.DeepQAgent`
this class implements the particular agent used for the
Double Duelling Deep Q network baseline, with the particularity
that the Q network is encoded with a leap net.
It does nothing in particular.
.. warning::
This baseline recodes entire the RL training procedure. You can use it if you
want to have a deeper look at Deep Q Learning algorithm and a possible (non
optimized, slow, etc. implementation ).
For a much better implementation, you can reuse the code of "PPO_RLLIB"
or the "PPO_SB3" baseline.
"""
pass