quadrotor_model.py 1.9 KB
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#   Copyright (c) 2020 PaddlePaddle Authors. 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.

# -*- coding: utf-8 -*-

import paddle.fluid as fluid
import parl
from parl import layers


class ActorModel(parl.Model):
    def __init__(self, act_dim):
        hidden_dim_1, hidden_dim_2 = 64, 64
        self.fc1 = layers.fc(size=hidden_dim_1, act='tanh')
        self.fc2 = layers.fc(size=hidden_dim_2, act='tanh')
        self.fc3 = layers.fc(size=act_dim, act='tanh')

    def policy(self, obs):
        x = self.fc1(obs)
        x = self.fc2(x)
        return self.fc3(x)


class CriticModel(parl.Model):
    def __init__(self):
        hidden_dim_1, hidden_dim_2 = 64, 64
        self.fc1 = layers.fc(size=hidden_dim_1, act='tanh')
        self.fc2 = layers.fc(size=hidden_dim_2, act='tanh')
        self.fc3 = layers.fc(size=1, act=None)

    def value(self, obs, act):
        x = self.fc1(obs)
        concat = layers.concat([x, act], axis=1)
        x = self.fc2(concat)
        Q = self.fc3(x)
        Q = layers.squeeze(Q, axes=[1])
        return Q


class QuadrotorModel(parl.Model):
    def __init__(self, act_dim):
        self.actor_model = ActorModel(act_dim)
        self.critic_model = CriticModel()

    def policy(self, obs):
        return self.actor_model.policy(obs)

    def value(self, obs, act):
        return self.critic_model.value(obs, act)

    def get_actor_params(self):
        return self.actor_model.parameters()