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FinRL Paper Trading demo bug #1164
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most probably You used the environment which returns 5 values from step method and 2 values from reset method. and from the reset function return only state it must resolve the error. let me know if you still get the error. |
Krish,
Hi - thanks so much for your help. I'm still struggling a little with where to locate the code you are referring to? I'm new to coding so bear with me please. I have searched for the code you referred to but can't find it in the runtime? Can you be more specific on its location? Oli
…________________________________
From: Krish Nandan Das ***@***.***>
Sent: 05 February 2024 10:07
To: AI4Finance-Foundation/FinRL ***@***.***>
Cc: olistokes ***@***.***>; Author ***@***.***>
Subject: Re: [AI4Finance-Foundation/FinRL] FinRL Paper Trading demo bug (Issue #1164)
most probably You used the environment which returns 5 values from step method and 2 values from reset method.
change this code
return state, reward, done, False, dict()
to
return state, reward, done, dict()
and from the reset function return only state
return self.get_state(price) please check the code.
it must resolve the error.
from new update gymnasium returns 5 values but elegantrl still returns 4.
let me know if you still get the error.
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|
I get the following errors when I run FinRL Paper trading demo. Please can you help?
TypeError Traceback (most recent call last)
in <cell line: 1>()
----> 1 train (start_date = '2022-12-04',
2 end_date = '2022-12-24',
3 ticker_list = ticker_list,
4 data_source = 'alpaca',
5 time_interval= '1Min',
2 frames
in train(start_date, end_date, ticker_list, data_source, time_interval, technical_indicator_list, drl_lib, env, model_name, if_vix, **kwargs)
58 )
59 model = agent.get_model(model_name, model_kwargs=erl_params)
---> 60 trained_model = agent.train_model(
61 model=model, cwd=cwd, total_timesteps=break_step
62 )
in train_model(self, model, cwd, total_timesteps)
75 model.cwd = cwd
76 model.break_step = total_timesteps
---> 77 train_agent(model)
78
79 @staticmethod
in train_agent(args)
308 env = build_env(args.env_class, args.env_args)
309 agent = args.agent_class(args.net_dims, args.state_dim, args.action_dim, gpu_id=args.gpu_id, args=args)
--> 310 agent.states = env.reset()[np.newaxis, :]
311
312 evaluator = Evaluator(eval_env=build_env(args.env_class, args.env_args),
TypeError: tuple indices must be integers or slices, not tuple
I'm running windows 10, python 3.10, on google chrome
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