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GameplayReward.py
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GameplayReward.py
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# Copyright (c) 2019-2020, 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 Grid2Op, Grid2Op a testbed platform to model sequential decision making in power systems.
from grid2op.Reward.BaseReward import BaseReward
from grid2op.dtypes import dt_float
class GameplayReward(BaseReward):
"""
This rewards is strictly computed based on the Game status.
It yields a negative reward in case of game over.
A positive reward if the game is won (finished an episode)
Otherwise the reward is zero
"""
def __init__(self):
BaseReward.__init__(self)
self.reward_min = dt_float(-1.0)
self.reward_max = dt_float(1.0)
def __call__(self, action, env, has_error,
is_done, is_illegal, is_ambiguous):
if has_error or is_illegal or is_ambiguous:
# Broke the game or did not respect the rules
return self.reward_min
else:
# Keep playing or finished episode
return self.reward_max