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I got the following warning while using ```keras-rl``` to train a DQN agent.
The ```batch_size``` argument is a small value i.e. **_50_**.
According to the warning information below, it seems thatโฆ
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# ๐ Feature Request
Part of #42. Depends on #43. We must create our 2D training environment for `gym`, because `pytorch` works best with `gym` environments, and it is our chosen deep learniโฆ
ghost updated
3 years ago
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For now, the agent does not seem to learn anything, or at least not the right thing
The loss is non-zero and the weights vary after each training pass, but the policy seems to be the same (i.e. ranโฆ
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- Loading model ...
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
[](https://localhost:808โฆ
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I see this project in this repositories.'gym_torcs_rl/testing/DDPG-Keras-Torcs/'.In this project ,I see you use image as the input for the network.I want to know.Do you use the pretrained 'guide netwoโฆ
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Please make sure that this is a feature request. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature โฆ
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# ๋ฌธ์ : ๋ช
๋ น์ด ์ํ์ ๋ค๋ฅธ ์ด๋์
์ ๋ฐ์ดํฐ๋ ํจ๊ป ์์งํ๋ ํ์
## ์ฌํ ๋ฐฉ๋ฒ
1. ์ฌ๋ DFAB์ ์ฑ๋ด์ DM์ผ๋ก ์ด๋ํ๋ค
2. ์๋์ ๋ช
๋ น์ด๋ฅผ ์
๋ ฅํ๋ค. ๋ณธ ํ์์ ์ด๋์
`jun`์ ์ฌ์ฉํ ๋ ๋ํ๋๋ ํ์
```slack
@DFAB get jun 1 a
```
## ๊ฒฐ๊ณผ ๋ฐ ๋ฌธ์ ์
์์ ๋ช
๋ น์ ์ํํ ๊ฒฝ์ฐ **ํโฆ
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So this is my setting:
keras==2.3.1
keras-rl2
tensorflow-gpu==2.0.0-beta1
numpy==1.16.4
And when i fit the DQN agent, my model go on full craziness
```
#Build the NN
model = Sequential()
โฆ
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Hey Haris,
I am having trouble with making Rllib work with a custom model. Here is a link to their documentation:
https://docs.ray.io/en/master/rllib-models.html?highlight=tfmodelv2#custom-models-โฆ
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This issue serves for informing about and discussing the next major release of Tianshou, after which the library can be considered mature and stable from our perspective. The progress and the related โฆ