# coding=utf-8

# Copyright 2020 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

#

# https://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

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"""An agent that uses and trains a greedy reward prediction policy."""

from __future__ import absolute_import

from __future__ import division

from __future__ import print_function

from typing import Callable, Optional, Sequence, Text, Tuple

from absl import logging

import gin

import tensorflow as tf

from tf_agents.agents import data_converter

from tf_agents.agents import tf_agent

from tf_agents.bandits.agents import utils as bandit_utils

from tf_agents.bandits.multi_objective import multi_objective_scalarizer

from tf_agents.bandits.networks import heteroscedastic_q_network

from tf_agents.bandits.policies import greedy_multi_objective_neural_policy as greedy_multi_objective_policy

from tf_agents.bandits.specs import utils as bandit_spec_utils

from tf_agents.networks.network import Network

from tf_agents.policies import utils as policy_utilities

from tf_agents.trajectories import time_step as ts

from tf_agents.typing import types

from tf_agents.utils import common

from tf_agents.utils import eager_utils

@gin.configurable

class GreedyMultiObjectiveNeuralAgent(tf_agent.TFAgent):

)