forked from google-deepmind/deepmind-research
-
Notifications
You must be signed in to change notification settings - Fork 0
/
auto_reset_environment.py
58 lines (47 loc) · 1.9 KB
/
auto_reset_environment.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
# Lint as: python3
# pylint: disable=g-bad-file-header
# Copyright 2020 DeepMind Technologies Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
"""Auto-resetting environment base class.
The environment API states that stepping an environment after a LAST timestep
should return the first timestep of a new episode.
However, environment authors sometimes don't spot this part or find it awkward
to implement. This module contains a class that helps implement the reset
behaviour.
"""
import abc
import dm_env
class Base(dm_env.Environment):
"""This class implements the required `step()` and `reset()` methods.
It instead requires users to implement `_step()` and `_reset()`. This class
handles the reset behaviour automatically when it detects a LAST timestep.
"""
def __init__(self):
self._reset_next_step = True
@abc.abstractmethod
def _reset(self):
"""Returns a `timestep` namedtuple as per the regular `reset()` method."""
@abc.abstractmethod
def _step(self, action):
"""Returns a `timestep` namedtuple as per the regular `step()` method."""
def reset(self):
self._reset_next_step = False
return self._reset()
def step(self, action):
if self._reset_next_step:
return self.reset()
timestep = self._step(action)
self._reset_next_step = timestep.last()
return timestep