dennybritz

6 ms·

1.
Thoughts on Coding Agents(dennybritz.com)
1 points by dennybritz 7mo ago|0 comments
2.
Thoughts on Coding Agents(dennybritz.com)
7 points by dennybritz 7mo ago|0 comments
3.
by dennybritz 2y ago
I do want to release the code, but it may take a couple more weeks. It's currently a mess of research code that's mixed with some other stuff I was working on so I would need to do a cleanup first. See you on the boat!
4.
by dennybritz 2y ago
I think there are some key differences to cycles in Chess. In Chess, the cycles come from your (or your opponents) actions. With minimax you would max (or min) over these actions, so if you pruned away the cycles at some depth your result i
5.
by dennybritz 2y ago
Thank you Exile :) I'm glad you enjoyed the read!
6.
Solving Path of Exile Item Crafting with Reinforcement Learning(dennybritz.com)
87 points by dennybritz 2y ago|19 comments
7.
Probability Monads from scratch in 100 lines of Haskell(dennybritz.com)
3 points by dennybritz 4y ago|0 comments
8.
Probability Monads from scratch in 100 lines of Haskell(dennybritz.com)
6 points by dennybritz 4y ago|0 comments
9.
by dennybritz 6y ago
Remote Only Location: Japan (or East Asia in general) Willing to Relocate: No Technologies (reverse-chronological order): - AI / Deep Learning Research - previously at Google and have published papers. Mostly focused on NLP and R
10.
Deep Learning's Most Important Ideas – A Brief Historical Review(dennybritz.com)
2 points by dennybritz 6y ago|0 comments
11.
Deep Learning's Most Important Ideas – A Brief Historical Review(dennybritz.com)
6 points by dennybritz 6y ago|0 comments
12.
by dennybritz 6y ago
Remote Only Location: Usually Japan/East Asia, but currently in Europe due to COVID Willing to Relocate: No Technologies (reverse-chronological order): - AI / Deep Learning Research - previously at Google and have published pa
13.
by dennybritz 6y ago
Yup. The only reason I am starting to write about it now is that I am no longer running the system. You could argue that it's not useful to write about systems that worked in the past, but I would disagree. New systems can work 99% the
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by dennybritz 6y ago
> Just because you have a good forecast doesn't translate into cash. It has to be paired with a trading strategy. This is probably why the author thinks the answer is RL, because coincidentally if you approach this problem with RL,
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by dennybritz 6y ago
I think you're comparing apples to oranges here. These funds manage billions of dollars of client money, which forces them into highly liquid markets with scalable strategies. That's quite different from how individuals or smaller
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Building AI Trading Systems(dennybritz.com)
215 points by dennybritz 6y ago|103 comments
17.
AI Research, replicability and academic incentives(dennybritz.com)
5 points by dennybritz 6y ago|0 comments
18.
by dennybritz 6y ago
A paper with more details can be found here: https://arxiv.org/abs/2006.00979
19.
Acme – A framework for distributed reinforcement learning(github.com)
79 points by dennybritz 6y ago|6 comments
20.
by dennybritz 6y ago
Remote Only Location: Usually Japan/East Asia, but currently in Europe due to COVID Willing to Relocate: No Technologies (reverse-chronological order): - AI / Deep Learning Research - previously at Google and have published pa
21.
by dennybritz 6y ago
I posted this because it was recommended to me several times in [0], together with several other "computational approaches to Physics" books, and thought it would be interesting to HN users. If you're looking for more books l
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Structure and Interpretation of Classical Mechanics(mitpress.mit.edu)
294 points by dennybritz 6y ago|40 comments
23.
by dennybritz 6y ago
Remote Only Location: Variable. Usually Japan or Asia, but currently in Europe due to COVID Willing to Relocate: No Technologies (reverse-chronological order): - AI / Deep Learning Research - previously work at Google and have publ
24.
Algorithms from Bishop's ML book implemented in Python(github.com)
107 points by dennybritz 7y ago|3 comments
25.
by dennybritz 7y ago
If your goal is to learn, I believe this is THE way to do it. My experience has been that reading about something complex without attempting it first isn't effective. If you are not familiar with the problems you won't understand
26.
by dennybritz 7y ago
You will never know the "generative process" of a paper, which makes it nearly impossible to properly evaluate it, even as an expert reviewer. If you are not a reviewer (or working on a competing paper), you are much better off NO
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by dennybritz 7y ago
No opinion on CrossFit, but if you've ever worked in Academia you realize that it's more of a cult and spreader of misinformation than any other establishment. Not always on purpose, but that doesn't matter.
28.
by dennybritz 8y ago
Some reasons that come to mind: 1. Most of the advances do not result in large enough gains to justify them being translated into industry. 99.9% of research papers propose techniques that result in small gains in the optimization metric (a
29.
Learning to Trade with Reinforcement Learning(wildml.com)
3 points by dennybritz 9y ago|0 comments
30.
Learning to Trade with Reinforcement Learning(wildml.com)
5 points by dennybritz 9y ago|0 comments

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