强化学习算法运行过程中报错

Question

当我在运行强化学习算法时，运行至1500回合左右，出现如下错误：
哪位可以帮忙看看，感谢

2023-03-24 22:01:09.380560: W tensorflow/core/framework/op_kernel.cc:1763] OP_REQUIRES failed at sparse_xent_op.cc:90 : Invalid argument: Received a label value of 3 which is outside the valid range of [0, 3).  Label values: 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
Traceback (most recent call last):
  File "/home/vmware/桌面/SUMO-changing-lane-agent-master/test.py", line 10, in <module>
    agent.train(env)
  File "/home/vmware/桌面/SUMO-changing-lane-agent-master/a2c.py", line 136, in train
    losses = self.model.train_on_batch(observations, [acts_and_advs, returns])
  File "/home/vmware/anaconda3/envs/changelane2/lib/python3.7/site-packages/tensorflow/python/keras/engine/training.py", line 1727, in train_on_batch
    logs = self.train_function(iterator)
  File "/home/vmware/anaconda3/envs/changelane2/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py", line 828, in __call__
    result = self._call(*args, **kwds)
  File "/home/vmware/anaconda3/envs/changelane2/lib/python3.7/site-packages/tensorflow/python/eager/def_function.py", line 862, in _call
    results = self._stateful_fn(*args, **kwds)
  File "/home/vmware/anaconda3/envs/changelane2/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 2943, in __call__
    filtered_flat_args, captured_inputs=graph_function.captured_inputs)  # pylint: disable=protected-access
  File "/home/vmware/anaconda3/envs/changelane2/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 1919, in _call_flat
    ctx, args, cancellation_manager=cancellation_manager))
  File "/home/vmware/anaconda3/envs/changelane2/lib/python3.7/site-packages/tensorflow/python/eager/function.py", line 560, in call
    ctx=ctx)
  File "/home/vmware/anaconda3/envs/changelane2/lib/python3.7/site-packages/tensorflow/python/eager/execute.py", line 60, in quick_execute
    inputs, attrs, num_outputs)
tensorflow.python.framework.errors_impl.InvalidArgumentError:  Received a label value of 3 which is outside the valid range of [0, 3).  Label values: 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
     [[node logits_loss/sparse_categorical_crossentropy/SparseSoftmaxCrossEntropyWithLogits/SparseSoftmaxCrossEntropyWithLogits (defined at /桌面/SUMO-changing-lane-agent-master/a2c.py:199) ]] [Op:__inference_train_function_9631]

Function call stack:
train_function

Answer 1

参考GPT和自己的思路：根据报错信息显示，这个强化学习算法在运行过程中出现了标签值超出正常范围的错误。具体而言，报错信息中显示接收到的标签值为3，而有效范围应该是[0,3)之间的值。

这种错误通常是由于数据处理过程中的错误导致的。有可能是在数据处理的时候，标签值中出现了超出规定范围的值。建议检查数据处理过程中的代码，检查标签的数据是否有误。另外，还可以检查一下强化学习算法中softmax函数的实现，是否存在潜在的问题。如果问题仍然无法解决，可以将代码逐行调试，定位错误的位置，或者在相关的论坛或社区寻求更多的帮助。