在我的 MAC M1 Air 上设置深度强化学习环境

Question

I recently set up my MAC M1 Air to implement deep reinforcement learning. 
But, when I started following this tutorial - Deep Reinforcement Learning Tutorial for Python https://www.youtube.com/watch?v=cO5g5qLrLSo&list=PLgNJO2hghbmjlE6cuKMws2ejC54BTAaWV&index=2, I got errors with DQN Agent as
 

In this part of the code.
Build Agent with Keras-RL
  from rl.agents import DQNAgent
  from rl.policy import BoltzmannQPolicy
  from rl.memory import SequentialMemory
  def build_agent(model, actions):
      policy = BoltzmannQPolicy()
      memory = SequentialMemory(limit=50000, window_length=1)
      dqn = DQNAgent(model=model, memory=memory, policy=policy, 
              nb_actions=actions, nb_steps_warmup=10, 
      target_model_update=1e-2)
      return dqn
  dqn = build_agent(model, actions)
  dqn.compile(Adam(lr=1e-3), metrics=['mae'])
  dqn.fit(env, nb_steps=50000, visualize=False, verbose=1)

TypeError：Keras 符号 inputs/outputs 未实现 __len__。您可能试图将 Keras 符号 inputs/outputs 传递给未注册调度的 TF API，从而阻止 Keras 自动将 API 调用转换为功能模型中的 lambda 层。如果您尝试直接断言符号 input/output，也会引发此错误。

I searched a lot for it and they are asking to downgrade TensorFlow for its compatibility with Keras-rl2. But, I don't see any such version available for the MAC silicon chip. Can someone please guide me, I have been stuck on it for far too long.




Any help is appreciated.

Answer 1

您遇到的问题是使用旧版本 keras-rl 的结果。该版本依赖于 model class.

上已弃用的方法

您需要切换到 keras-rl2。

在我的 MAC M1 Air 上设置深度强化学习环境

Setting up deep reinforcement learning environment on my MAC M1 Air

tensorflow

keras

deep-learning

reinforcement-learning

apple-m1