Viewing profile — edhu2017

Care to elaborate how AZ/MZ are not model based? MuZero learns a transition function. AZ uses a known transition model to do planning, but I would still say that's model-based RL.

Data-driven robot control methods for solving furniture assembly. It's an interesting problem, requiring both dexterous manipulation and long-term planning. It's also compositional…

Hey all, I'm one of the authors of the environment. I'm excited to see what researchers will come up with to tackle the furniture assembly problem. Let me know if you have any ques…

We don't plan too many meetings. Once a week for a lab wide meeting. Most of these meetings are casual and just discussions between cliques of phd students on specific topics.

Being in the lab helps me focus on my thinking. I also discuss my current thinking and problems with my peers for critique, and I can do the same for them. I'm more conditioned to …

Disclaimer: Our field is extremely competitive (deep learning) and other labs may have better working styles depending on their lab size and member composition. My lab's workload o…

This is AI snakeoil.

Agreed, reimplementation is pretty good for students to learn. Our lab requires everybody to work on an implementation project

definitely has been done before.

Good question, for me I programatically generate a folder with the hyperparameter key - values in the name and store the checkpoints under it. As you can imagine, it can get out of…

seems great for my reinforcement learning models. instead of parsing my hyperparameters through the tensorflow cli API and editing the training file a line at a time to take in an …

I think it's a great move. Prevents short term greedy shareholder strategies.

Depends on how simple you want to get. If literally displaying text once in a while, you don't even need jekyll. If you are a blog writer, want some sort of templating / reusable s…

fight on! these projects are interesting but i'm still a student

I see, but I think for areas like Reinforcement Learning or sequence models though eGPUs would be significantly slower since you have to constantly shuttle new data into the GPU fr…

Edit: This thread is helpful. https://www.reddit.com/r/MachineLearning/comments/6tyyyt/d_d...

I heard the eGPU gets throttled memory wise because there are less pcie lanes. does this have a big impact on ML performance?

Pruning, Weight Sharing and Quantization are commonly used techniques and can be done in tf.

somebody with conjoined fingers!

Total compensation: Definitely a wide range, but a few hundred K would be the median. Recruiting: one of my labmates flat out refused to do algorithmic interviews for a research po…