forhonourlx

How to run the demo and visualization without docker?

2

Hi, Could somebody kindly show me: How to run the demo and visualization without docker? Thanks.

Cannot render 'human' mode: no TradingChart plt is called

1

Hi, I am trying optimize.py: `trader.train(test_trained_model=True, render_test_env=True, render_report=True, save_report=True)` But no TradingChart or plt is seen. Does anybody know the reason? Thanks for your help.

Incompatible errors or missing functions in 'tutorial_nbs' notebooks, please fix.

5

Hi tsai Team, I am trying tutorial_nbs notebooks, found some incompatible errors or missing functions from old versions. Could you please fix them? Thanks in advance. os : Windows-10-10.0.22000-SP0 python...

[BUG] TypeError: Cannot read property 'toStringTag' of undefined

3

Hi, **To Reproduce** Steps to reproduce the behavior: When I was trying to `import DataFrame from "./dataframe.min.js"` Caught: ``` appservice?t=1607875947021:1718 utils/dataframe.min.js: TypeError: Cannot read property 'toStringTag' of undefined at Gt...

Hi Felix, I am learning your C51 code and trying to replicate the Rainbow DQN, but I am confused whether action advantage tower should be: "action_advantage = Lambda(lambda a: a[:,...

TypeError: expand_dims() got an unexpected keyword argument 'dim'

1

def dueling_dqn(input_shape, action_size, learning_rate): ... state_value = Lambda(lambda s: K.expand_dims(s[:, 0], dim=-1), output_shape=(action_size,))(state_value) ...

Dear Felix, Your articles are the Best Reinforcement Learning Tutorials I have read. Do you have any interest in "Rainbow: Combining Improvements in Deep Reinforcement Learning"? Looking forward to your...

Hi Felix, I am a beginner who learning your code. Could you please kindly tell me how to understand the following Lambda sentence? Thanks for your help. def dueling_dqn(input_shape, action_size,...

summary error when nn.LSTM(batch_first=True)

9

File "C:\Users\simon\Desktop\DeepRL.old\deep_rl\agent\PPO_agent.py", line 25, in __init__ torchsummary.summary(self.network,(100, 2, 11)) ...... File "C:\Users\simon\Desktop\DeepRL.old\deep_rl\network\network_bodies.py", line 149, in forward y, (h_n,c_n) = self.lstm1(x) File "C:\Anaconda\lib\site-packages\torch\nn\modules\module.py", line 491, in __call__ hook_result = hook(self, input,...

ValueError: Negative dimension size caused by subtracting 3 from 1 for 'conv2d_2/convolution' (op: 'Conv2D') with input shapes: [?,1,29,16], [3,3,16,32].