模型输出 "Tensor("activation_9/activation_9/Identity:0", shape=(?, 6), dtype=float32)" 的形状无效

如何解决模型输出 "Tensor("activation_9/activation_9/Identity:0", shape=(?, 6), dtype=float32)" 的形状无效

我在尝试构建 DQN 模型时收到此错误，但我收到此错误：

ValueError                                Traceback (most recent call last)
<ipython-input-41-42c80ec471c2> in <module>()
      1 # Todo - Select the parameters for the Agent and the Optimizer
      2 dqn = DQNAgent(model=model,nb_actions=nb_actions,----> 3                memory=memory)
      4 dqn.compile(Adam(lr=.00025),metrics=['mae'])

/usr/local/lib/python3.7/dist-packages/rl/agents/dqn.py in __init__(self,model,policy,test_policy,enable_double_dqn,enable_dueling_network,dueling_type,*args,**kwargs)

ValueError: Model output "Tensor("activation_14/activation_14/Identity:0",shape=(?,6),dtype=float32)" has invalid shape. DQN expects a model that has one dimension for each action,in this case 6.

我在 keras-rl 和 tensorflow 中的版本有一些问题，所以这些是我正在使用的版本：

张量流==1.13.1

Keras==2.2.4

keras-rl2==1.0.4

代码如下：

from __future__ import division

from PIL import Image
import numpy as np
import gym

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense,Activation,Flatten,Convolution2D,Permute
from tensorflow.keras.optimizers import Adam
import tensorflow.keras.backend as K

from rl.agents.dqn import DQNAgent
from rl.policy import LinearannealedPolicy,BoltzmannQPolicy,epsgreedyQPolicy
from rl.memory import SequentialMemory
from rl.core import Processor
from rl.callbacks import FileLogger,ModelIntervalCheckpoint

INPUT_SHAPE = (84,84)
WINDOW_LENGTH = 4

env_name = 'SpaceInvaders-v0'
env = gym.make(env_name)
nb_actions = env.action_space.n

input_shape = (WINDOW_LENGTH,) + INPUT_SHAPE
model = Sequential()
model.add(Permute((2,3,1),input_shape=input_shape))

model.add(Convolution2D(32,(8,8),strides=(4,4)))
model.add(Activation('relu'))
model.add(Convolution2D(64,(4,4),strides=(2,2)))
model.add(Activation('relu'))
model.add(Convolution2D(64,(3,3),strides=(1,1)))
model.add(Activation('relu'))

model.add(Flatten())
model.add(Dense(512))
model.add(Activation('relu'))
model.add(Dense(nb_actions))
model.add(Activation('linear'))
print(model.summary())

memory = SequentialMemory(limit=1000000,window_length=WINDOW_LENGTH)

dqn = DQNAgent(model=model,memory=memory)

我正在使用 tensorflow==1.13，因为 _keras_shape 中的某些 DQNAgent 也存在以下问题：

'Tensor' object has no attribute '_keras_shape'

有人能告诉我我做错了什么吗？