New paper - CURL: Contrastive Unsupervised Representations for RL! We use the simplest form of contrastive learning (instance-based) as an auxiliary task in model-free RL. SoTA by *significant* margin on DMControl and Atari for data-efficiency. https://t.co/Xszek8cFFs
@TL_Metne Pra te confortar primo: @ElTedao essa semana conseguiu perder com o Daejeon, com o Cerezo e com o Botafogo. Cada um de uma forma diferente. Hahahahha
Inspiring talk by @SchmidhuberAI at the GTC 2021.
Important part when he cites Kunihiko Fukushima and his seminal work in the Neocognitron CNN architecture.
His work deserves a lot of recognition. Outstanding research in neural networks since the 70s!
This article reminds me of the countless hours I spent in the studio manually editing speech and NLP datasets...
Months of invisible work for training 'old' seq-to-seq models.
This is a problem especially for languages without vastly available open source datasets.
The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it’s distorting our understanding of the field’s progress. https://t.co/dTXugbdpBa
🎥 HIGHLIGHTS | Daejeon Hana Citizen 2-1 Gyeongnam FC
🔝 Daejeon move into pole position in @kleague 2 thanks to goals from Park In-hyeok and Pato.
📺 Watch 𝗟𝗜𝗩𝗘: https://t.co/A2QSGWlehT
#KLeague | #K리그 | #DHFCvGYE
What this means for #KLeague is that fans will still be allowed in stadiums. Seoul/Gyeonggi/Incheon still limited to 10%, as too are Busan, Jeonju (Jeonbuk) and Daejeon which are at Level 2.
https://t.co/PLK2x8LU9B
"Learners can benefit from this (evaluative feedback) by successfully inferring and internalizing a teacher's reward specification" (@Mark_Ho_ et al 2017)
A powerful sentence that summarizes a lot of the progress in Deep RL in 2020/2021.
@lfvecchietti Start by visiting
https://t.co/zz5yoEygRB
Get to know the activities to be hosted during the year. For example LXCV to be held in @CVPR#CVPR2021 during June.
https://t.co/8f5AcHvNlm
In sum, sign up, participate in the events, forums and connect with others 😊
The work "Mutual Information State Intrinsic Control" by Rui Zhao, Yang Gao, @pabbeel, @vtresp, and Wei Xu is the most interesting Reinforcement Learning paper I read recently.
Amazing intuition. Simple concept. Good results.
https://t.co/Xg9wMcioLN