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Schulman, John et al.
https://arxiv.org/abs/1707.06347
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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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### 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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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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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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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 …
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In your implementation of the PPO loss, do you not need to collapse both `prob` and `old_prob` down to a single scalar per row, instead of a vector with a single non-zero entry? Otherwise, it seems th…
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```
def proximal_policy_optimization_loss_continuous(advantage, old_prediction):
def loss(y_true, y_pred):
var = K.square(NOISE)
pi = 3.1415926
denom = K.sqrt(2 * pi *…
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Using %%excerpt%% as the default description on a custom post type don't return the generated value. In editor & WP frontend it works
![image](https://user-images.githubusercontent.com/2171273/806518…