# 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
from l2rpn_baselines.SACOld.sacOld_NN import SACOld_NN
DEFAULT_NAME = "SACOld"
[docs]class SACOld(DeepQAgent):
"""
Do not use this SACOld class that has lots of known (but forgotten) issues.
.. 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.
.. warning::
We plan to add SAC based agents relying on external frameworks, such as stable baselines3 or ray / rllib.
We will not code any SAC agent "from scratch".
"""
pass