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Jeremy.lee proslijedio/la je Tweet
Wow, I also didn't know about this. I'll try it out next time I'm presenting! "It uses your computer’s microphone to detect your spoken presentation, then transcribes—in real time—what you say as captions on the slides you’re presenting. " (cont)https://twitter.com/edchi/status/1224561613736415232 …
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Jeremy.lee proslijedio/la je Tweet
We're celebrating the reviews that inspired us in 2019. Read the full collection, including the pick from
@TrendsCognSci: Reinforcement Learning, Fast and Slow@DeepMind http://crosstalk.cell.com/blog/best-reviews-we-published-in-2019-part-2 …pic.twitter.com/9x88DE7LaR
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Jeremy.lee proslijedio/la je Tweet
"One of the things I really like about this article is how it integrates work from the fields of artificial intelligence, psychology, neuroscience, and evolutionary theory."
@TrendsCognSci editor@LindseyDrayton, picks Reinforcement Learning, Fast and Slow as her review of 2019https://twitter.com/CellPressNews/status/1224404798709075968 …
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Jeremy.lee proslijedio/la je Tweet
Same! Would love to see your slides.
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Jeremy.lee proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Jeremy.lee proslijedio/la je Tweet
We're standardizing OpenAI's deep learning framework on PyTorch to increase our research productivity at scale on GPUs (and have just released a PyTorch version of Spinning Up in Deep RL): https://openai.com/blog/openai-pytorch/ …pic.twitter.com/lgvqDdWDoB
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Jeremy.lee proslijedio/la je Tweet
‘Mapping the future’: our recent paper, which provides insight into previously unexplained elements of dopamine-based learning in the brain, is on the front cover of
@Nature!
Read the blog: https://deepmind.com/blog/article/Dopamine-and-temporal-difference-learning-A-fruitful-relationship-between-neuroscience-and-AI …https://twitter.com/nature/status/1222604066796331008 …
0:07Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jeremy.lee proslijedio/la je Tweet
In “Artificial Intelligence, Values and Alignment” DeepMind’s
@IasonGabriel explores approaches to aligning AI with a wide range of human values: https://deepmind.com/research/publications/Artificial-Intelligence-Values-and-Alignment …pic.twitter.com/Zo81PSpwyF
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Jeremy.lee proslijedio/la je Tweet
Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!https://blog.google/products/search/discovering-millions-datasets-web/ …
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Jeremy.lee proslijedio/la je Tweet
Q-learning is difficult to apply when the number of available actions is large. We show that a simple extension based on amortized stochastic search allows Q-learning to scale to high-dimensional discrete, continuous or hybrid action spaces: https://arxiv.org/abs/2001.08116
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Jeremy.lee proslijedio/la je Tweet
Given the smoothness of videos, can we learn models more efficiently than with
#backprop? We present Sideways - a step towards a high-throughput, approximate backprop that considers the one-way direction of time and pipelines forward and backward passes. https://arxiv.org/pdf/2001.06232.pdf …pic.twitter.com/evbwULE0s2Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jeremy.lee proslijedio/la je Tweet
We worked with
@harvardbrainsci to show that distributional RL, a recent development in AI research, can provide insight into previously unexplained elements of dopamine-based learning in the brain. Read the blog: https://deepmind.com/blog/article/Dopamine-and-temporal-difference-learning-A-fruitful-relationship-between-neuroscience-and-AI … (2/2)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jeremy.lee proslijedio/la je Tweet
Review paper on flows from the experts!https://twitter.com/gpapamak/status/1202935540175310854 …
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Jeremy.lee proslijedio/la je Tweet
A very important read. It's long, but I'd HIGHLY suggest reading every word. Twice.https://medium.com/@cache_86525/the-future-is-grim-27ca6f7ab07b?fbclid=IwAR1c_hvezO1RCxE1SEFoDB9VxV-d9t0k1JS4rUHCY3fbJauJSz4Xdgdqhak …
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Jeremy.lee proslijedio/la je Tweet
How To Be Successful (At Your Career, Twitter Edition)
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Jeremy.lee proslijedio/la je Tweet
Excited to release our new multi-agent RL paper showing that when agents receive a social reward for having causal influence over other agents, it leads to enhanced cooperation and emergent communication https://arxiv.org/abs/1810.08647
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Jeremy.lee proslijedio/la je Tweet
I couldn’t decide the topic of my next post. Would like to hear your ideas. Plz reply! Thanks <3
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Jeremy.lee proslijedio/la je Tweet
How to Read a Paper, by Srinivasan Keshav. http://blizzard.cs.uwaterloo.ca/keshav/home/Papers/data/07/paper-reading.pdf …pic.twitter.com/hyZnqBLAjd
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Jeremy.lee proslijedio/la je Tweet
@bodonoghue85 may have some more thoughts, but I don't think we've worked through this yet! I got into this because of a genuine confusion at conferences where people would talk about "sampling from the posterior" in RL.. But their algorithm didn't seem like Thompson sampling!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Jeremy.lee proslijedio/la je Tweet
Congratulations also to new
@whi_rl member Kristian who is on two accepted papers with his old lab, including "Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery" -@kristianhartika, Xinyang Geng,@haarnoja,@svlevine https://openreview.net/forum?id=H1lmhaVtvr¬eId=H1lmhaVtvr …pic.twitter.com/Sp1zzXyjFz
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