text: Title: The official RL example got error
  Body: Copy and run these code from official RL example, but got below errors, please help check, thanks.
  https://github.com/microsoft/qlib/blob/main/examples/rl/simple_example.ipynb
  
  
  Training started
  /Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/tianshou/env/venvs.py:66: UserWarning: You provided an environment generator that returned an OpenAI Gym environment. We strongly recommend transitioning to Gymnasium environments. Tianshou is automatically wrapping your environments in a compatibility layer, which could potentially cause issues.
    warnings.warn(
  /Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/qlib/rl/utils/data_queue.py:98: RuntimeWarning: After 1 cleanup, the queue is still not empty.
    warnings.warn(f"After {repeat} cleanup, the queue is still not empty.", category=RuntimeWarning)
  Traceback (most recent call last):
    File "/Users/user/Desktop/ruc/paper/quant/Quant/rl/rl_example.py", line 166, in <module>
      train(
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/qlib/rl/trainer/api.py", line 63, in train
      trainer.fit(vessel)
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/qlib/rl/trainer/trainer.py", line 224, in fit
      self.vessel.train(vector_env)
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/qlib/rl/trainer/vessel.py", line 171, in train
      collector = Collector(self.policy, vector_env, VectorReplayBuffer(self.buffer_size, len(vector_env)))
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/tianshou/data/collector.py", line 80, in __init__
      self.reset(False)
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/tianshou/data/collector.py", line 131, in reset
      self.reset_env(gym_reset_kwargs)
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/tianshou/data/collector.py", line 147, in reset_env
      obs, info = self.env.reset(**gym_reset_kwargs)
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/qlib/rl/utils/finite_env.py", line 233, in reset
      for i, o in zip(request_id, super().reset(request_id)):
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/tianshou/env/venvs.py", line 280, in reset
      assert (
  AssertionError: The environment does not adhere to the Gymnasium's API.
  Exception ignored in: <function DataQueue.__del__ at 0x12b9f6280>
  Traceback (most recent call last):
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/qlib/rl/utils/data_queue.py", line 148, in __del__
      self.cleanup()
    File "/Users/user/Desktop/ruc/paper/quant/Quant/venv/lib/python3.8/site-packages/qlib/rl/utils/data_queue.py", line 101, in cleanup
      self._queue.get(block=False)
    File "/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/queues.py", line 111, in get
      res = self._recv_bytes()
    File "/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/connection.py", line 216, in recv_bytes
      buf = self._recv_bytes(maxlength)
    File "/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/connection.py", line 414, in _recv_bytes
      buf = self._recv(4)
    File "/Applications/Xcode.app/Contents/Developer/Library/Frameworks/Python3.framework/Versions/3.8/lib/python3.8/multiprocessing/connection.py", line 383, in _recv
      raise EOFError
  EOFError: 
  
  
  env
  python: 3.8
  qlib: 0.9.3
  