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2-breakout-a3c 에서 train.py 를 해보는 중인데,
self.global_model.summary()
해봤더니 모델 요약 조금 나오다
ValueError: You tried to call `count_params` on conv2d_2, but the layer isn't built. You can build it manually …
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The PCL implementation causes a minor error when it is used with step_offset, because of
```python
if self.t - self.t_start == self.t_max:
```
in pcl.py, while self.t is overwritten by train_agent…
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We are trying to train this model for multiple video using PPO with different masks(variable number of bit rates masked).
For example, there are currently maximum 12 bitrates and some of them are ran…
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The depth data is not included in the data set you shared, but this error message appeared during the training process.
Training started from: 2020-09-03 10:23:59
Scene Data Exists!
initialized o…
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HI. I have an error like the bottom while I execute "python main.py --model GraphModel --worker 12 --gpu-ids 0 1 --title a3c_graph" . It would be so thankful to give me a solution. THANK YOU !!!
…
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AGENT NAME: A3C
1.1: A3C
TITLE CartPole
layer info [20, 10, [2, 1]]
layer info [20, 10, [2, 1]]
{'learning_rate': 0.005, 'linear_hidden_units': [20, 10], 'final_layer_activation': ['SOFTMAX', …
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e.g. like what simple_dqn does here:
https://github.com/tambetm/simple_dqn
./play.sh snapshots/breakout_77.pkl
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hi @Kismuz
I was reading the paper "Noisy Network for exploration". And have a question w.r.t its usage in btgym. The paper says that "As A3C is an on-policy algorithm the gradients are unbiased w…
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RNN 모델은 sequence data를 주로 다루는 모델입니다.
입력 데이터가 (N,T,D) 형태로 LSTM 모델에 들어갑니다.
구현 코드에서 T=1인 형태로 batch data가 입력되고 있습니다.
이런 경우에 굳이 LSTM 모델을 사용해서 얻는 장점이 전혀 없습니다.
Dense를 사용하면 되지 않나요?