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Hi,
I find Tensorforce really interesting and I would like to use it in my project. However, I have a question.
I need an Agent using PPO (Proximal Policy Optimization), which is possible by doi…
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Command:
`pandoc -i content.md --citeproc --bibliography bib.json --csl style.csl`
Output:
`[SWDR21]`
Expected Output:
`[SWDR17]`
If I remove the "accessed" field completely from …
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Schulman, John et al.
https://arxiv.org/abs/1707.06347
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In [Specifying the input shape in advance | TensorFlow Core](https://www.tensorflow.org/guide/keras/sequential_model#specifying_the_input_shape_in_advance), it says:
> Generally, all layers in Kera…
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### What is the problem?
I have used tune to optimize and train PPO with a parametric head similar to the example seen [here ](https://github.com/ray-project/ray/blob/master/rllib/examples/parame…
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Hello,
I have a subclassed blender agent:
```python
class Blender(TransformerGeneratorAgent):
```
I first generated a bunch of sentences: `["hey, how are you?", "how's it going..?"]`
**H…
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A gentle request for a TF-Agents implementation of a modified PPO with an exploration bonus - for testing on Montezuma's Revenge.
Paper: [Exploration by Random Network Distillation](https://arxiv.o…
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import gym
import numpy as np
import tensorflow as tf
class Memory(object):
def __init__(self):
self.ep_obs, self.ep_act, self.ep_rwd, self.ep_neglogp = [], [], [], []…
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In the reinforcement learning module, we already have a value-based implementation which involves methods like q_learning and the greedy policy. We could now move to policy optimization . Below are a …
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**Describe the bug**
when I entered the command 'cellfinder_train -y D:\AM_tiff\output\points\training.yml -o D:\AM_tiff\output\points'
there is an error ''cellfinder_train' is not recognized as an …