Ph.D student at Information Science and Technology (IST), VISTEC πΉπ, and research intern at Sakana AI π.
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https://vistec.ist/
- Thailand
-
05:37
(UTC +07:00) - rujikorn.com
- @tan51616
Highlights
- Pro
Menlo Research
menloresearch
An open AI & Robotics R&D lab, building the brain for future robots
Daniel Stenberg
bagder
I don't know anything. Employed by @wolfSSL
@wolfSSL the curl factory, Sweden - close to Nebraska
Sakana AI
SakanaAI
On a quest to create a new kind of foundation model based on nature-inspired intelligence.
Tokyo
Eduardo Pignatelli
epignatelli
Assistant Professor (UK Lecturer, Teaching) @ UCL. PhD @ UCL. Previously ML Lead at @BuroHappoldEngineering and RA at @ImperialCollegeLondon
University College London (UCL) London
aScrambledEgg
Hi, I'm Teddy, a high schooler in New York. I'm interested in cooperative agents, like in Hanabi or Overcooked.
Andrei Lupu
lupuandr
Ph.D. at Oxford and Meta AI studying (multi-agent) reinforcement learning.
Formerly at Mila / McGill University
FLAIR, University of Oxford / FAIR team at Meta AI Oxford, UK
Robotics & Embodied Artificial Intelligence Lab (REAL)
real-stanford
We develop algorithms that enable intelligent systems to learn from their interactions with the physical world to execute complex tasks and assist people
United States of America
Huy Ha
huy-ha
Ph.D. CS @ Columbia + Stanford
Robotics & Embodied Artificial Intelligence Lab (REAL) Palo Alto
Laboratory of Intelligent Systems @ EPFL
lis-epfl
Code Repository of the Laboratory of Intelligent Systems directed by Prof. Dario Floreano
Switzerland
entity-neural-network
Libraries for neural networks that can process variable length lists of structured entities.
Eric Graves
gravesec
PhD student researching reinforcement learning at the University of Alberta.
Edmonton, Alberta, Canada
Stone Tao
StoneT2000
Robot Learning, RL, Simulation. PhD @ UC San Diego. Research Intern @NVIDIA
Co-founder @Lux-AI-Challenge.
Antonin RAFFIN
araffin
Research Engineer in Robotics and Machine Learning, with a focus on Reinforcement Learning.
@DLR-RM Munich
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