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driver.py
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driver.py
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# coding=utf-8
# Copyright 2018 The TF-Agents Authors.
#
# 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.
"""Base class for drivers that takes steps in an environment."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import abc
import six
@six.add_metaclass(abc.ABCMeta)
class Driver(object):
"""A driver that takes steps in an environment using a policy."""
def __init__(self, env, policy, observers=None, transition_observers=None):
"""Creates a Driver.
Args:
env: An environment.Base environment.
policy: A policy.Base policy.
observers: A list of observers that are updated after the driver is run.
Each observer is a callable(Trajectory) that returns the input.
Trajectory.time_step is a stacked batch [N+1, batch_size, ...] of
timesteps and Trajectory.action is a stacked batch
[N, batch_size, ...] of actions in time major form.
transition_observers: A list of observers that are updated after every
step in the environment. Each observer is a callable((TimeStep,
PolicyStep, NextTimeStep)). The transition is shaped just as
trajectories are for regular observers.
"""
self._env = env
self._policy = policy
self._observers = observers or []
self._transition_observers = transition_observers or []
@property
def env(self):
return self._env
@property
def policy(self):
return self._policy
@property
def transition_observers(self):
return self._transition_observers
@property
def observers(self):
return self._observers
@abc.abstractmethod
def run(self):
"""Takes steps in the environment and updates observers."""