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Prikvačeni tweet
Meta Reinforcement Learning is good at adaptation to very similar environments. But can we meta-learn general RL algorithms? Our new approach MetaGenRL is able to. With
@vansteenkiste_s and@SchmidhuberAI Paper: https://arxiv.org/abs/1910.04098 Blog:http://louiskirsch.com/metagenrlHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The deadline for our workshop Beyond 'Tabula Rasa' in RL (BeTR-RL) is getting closer.
@iclr_conf#iclr2020 We are looking forward to all contributions! February 10th 2020, 11:59 PM anywhere on EarthPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We are excited to announce our
@iclr_conf workshop 'Beyond "Tabula Rasa" in RL (BeTR-RL): Agents that remember, adapt, and generalize' w/ Ignasi Clavera, Kate Rakelly,@janexwang,@chelseabfinn,@jeffclune CfP & more infos:http://betr-rl.ml/2020/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I couldn't agree more
@ylecun “One must keep in mind that the hard part is not getting the Grand Idea, but demonstrating that it can work, turning it into a practical algorithm or method, and perhaps even beat the state of the art on some practical problem.“Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I'm organizing a small meetup with
@jeffclune to chat about meta learning and automatically generating environments. Please come and join us! I will also present my work on meta learning new RL algorithms that generalize to vastly different environments. http://louiskirsch.com/metagenrl https://twitter.com/jeffclune/status/1205884198264852480 …
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I'm really looking forward to this talk! It fits well with my research on meta learning general RL algorithms http://louiskirsch.com/metagenrl https://twitter.com/jeffclune/status/1205173441424326657 …
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This paper is an absolute highlight! Forget batch norm, forget residual connections, a low gradient quotient initialization is all you need.https://twitter.com/sschoenholz/status/1204506369572757509 …
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Louis Kirsch proslijedio/la je Tweet
Blaise Aguera (
@blaiseaguera)’s keynote talk at#NeurIPS2019 suggests that the machine learning research community employ ideas from artificial life (evolution, cellular automata, Hebbian learning etc.) to address fundamental limitations of deep learning.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A great overview if you'd like to know more about Juergen's work in the early 90s!https://twitter.com/SchmidhuberAI/status/1180035193962401792 …
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Colaboratory now with VIM mode <3https://twitter.com/GoogleColab/status/1156980030276161537 …
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Louis Kirsch proslijedio/la je Tweet
Most of us know Schmidhuber through papers, anecdotes, and memes. I thought this conversation between him and
@lexfridman was fascinating and worth listening from start to finish:https://lexfridman.com/juergen-schmidhuber/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sapiens is indeed a very good read! Society is based on stories.https://twitter.com/hardmaru/status/1172527369820655617 …
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My supervisor Jürgen Schmidhuber
@SchmidhuberAI is now on Twitter!https://twitter.com/hardmaru/status/1172340623585599489 …
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Louis Kirsch proslijedio/la je Tweet
Animal-AI Olympics v1.0 released! Launch info with prizes and category descriptions at https://www.mdcrosby.com/blog/animalailaunch.html … Submissions slightly delayed, opening July 8th @ EvalAI. Thanks to our sponsors and collaborators! Including:
@awscloud@unity3d@wba_initiative@GoodAIdev@CFImindspic.twitter.com/18raW1vVTP
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Louis Kirsch proslijedio/la je Tweet
#mdpientropy Gaussian Mean Field Regularizes by Limiting Learned Information https://www.mdpi.com/1099-4300/21/8/758 …#informationtheory#variationalinference#machinelearningpic.twitter.com/iv4f2yTWI4
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Louis Kirsch proslijedio/la je Tweet
Awesome map of Reinforcement Learning concepts - A must read! "All in all, it is easy to get lost in the large number of publications and subfields of research." You said it! This kind of bird's-eye view is sorely missing in DRL.https://twitter.com/LouisKirschAI/status/1081225478411833345 …
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Louis Kirsch proslijedio/la je Tweet
MAX: a new algorithm from our team for actively taking decisions that lead to new information about an environment. The goal of this research is to substantially speed up exploration for Model-Based Reinforcement Learning. Model-Based Active Exploration https://arxiv.org/abs/1810.12162 pic.twitter.com/OUKOO0wgTR
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Incredible what PPO with massive batch sizes and long training can do. It was very interesting to watch the 2-0 win as an AI researcher.
#OpenAIFiveHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Louis Kirsch proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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