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hi~In the mutil video experiments,you generate lots of videos which has various avaliable bitrate sets.You randomize the segment size by adding noise to the standard size of the corresponding bitrate.…
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Hi,
I have trained the model on Ubuntu 16.04 with around 200000 iterations with 16 agents. Used default hyper params.
Although, total QoE is higher than legacy buffer based approach, but there is s…
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Facetious title, but what happens if a user creates new custom fields in an entry? It only saves as a custom field for that entry, right? I'm curious about the purpose of this, because it's not a fiel…
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In some cases (eg. when writing a lot, writing markdown, or filling in lots of fields) user wants to ensure that text doesn't disappear, and will show up correctly.
Today when testing Pensieve, @le…
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I have run multi_agent.py,I set the iteration number of central_agent to 10^5 and set the learning rate as you proposed.And I use tensorboard to check the curve of td_loss.But the curve couldn't conve…
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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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## 🚀 Feature
Incorporate support for Posit number format as another dtype of PyTorch
## Motivation
The Posit number format (introduced in [Beating Floating Point at its Own Game](http://www.johng…
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Existing `q.rotate()` gets the job done but is pretty darn slow.
This is _not_ so much because of the actual rotation (or even re-running `qmethod()` as is done), but more because of the plotting.
Le…
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hi:
I want to reproduce your experiment, now i know how to train the rl model, and i just want to plot the figure to compare the different algorithm.but when i put the trained model into the ./t…
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Dear Hongzi,
I was trying to figure out the matching between the RL agent's state s(t) in the code and the input info in the paper.
**Input:** After the download of each chunk t, Pensieve’s lea…