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Usage of policy gradient reinforcement learning to solve portfolio optimization problems (Tactical Asset Allocation).
Thanks for sharing your TAA-PG project.
running train.py (and test.py) I get this error message which I've not been able to solve:
Traceback (most recent call last):
File "./train.py", line 394, in
run = TrainAgent(arguments)
File "./train.py", line 256, in init
summary_spec=self.summary_spec
File "/media/dn/dssd/tensorforce_g/tensorforce/agents/agent.py", line 286, in from_spec
kwargs=kwargs
File "/media/dn/dssd/tensorforce_g/tensorforce/util.py", line 198, in get_object
return obj(*args, **kwargs)
TypeError: init() got an unexpected keyword argument 'states_spec'
Any ideas or suggestions for a fix?
Thanks again.
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