Robocrunch        AI

Animesh Garg   @animesh_garg

Machine Learning for Robotics. Assistant Professor in AI @UofTCompSci & @VectorInst. Also at @UofTRobotics & @NvidiaAI. Here via @StanfordAILab, @berkeley_ai
animesh_garg 36.2


  Tweets by Animesh Garg  

Animesh Garg    @animesh_garg   ·   9/15/2021
Data Augmentation helps with performance improvement in Offline RL. - across the board with most envs and most algorithms! Surprising finding and hence the name!
 Reply      Retweet   2      Like     8    



Animesh Garg    @animesh_garg   ·   6/10/2021
Congrats @drfeifei and @etzioni for being inducted on the @WHOSTP to advise the @POTUS on the National Artificial Intelligence (AI) Research. Glad to see the scientific community be represented and heeded to! https://t.co/N7ZmiS5tB8
 Reply      Retweet   6      Like     44    



Animesh Garg    @animesh_garg   ·   6/7/2021
Solving this algorithmically without cheating: - no apriori map - no reward engineering - online sensing whether w\ RL, optimal control, planning, or a combo, will keep folks in robot learning busy for the next few years! Real robot: do we even have the hardware to dare? 🤷 https://t.co/U9kWKxN3cT
 Reply      Retweet   3      Like     31    








 
  Relevant People  


DeepMind
Our team research and build safe AI systems. We're committed to solving intelligence, to advance science and humanity.
DeepMind 60.0

Yann LeCun
Professor at NYU. Chief AI Scientist at Facebook. Researcher in AI, Machine Learning, etc. ACM Turing Award Laureate.
Yann LeCun 58.4

TensorFlow
TensorFlow is a fast, flexible, and scalable open-source machine learning library for research and production.
TensorFlow 56.5

Stanford HAI
Advancing AI research, education, policy, and practice to improve the human condition.
Stanford HAI 47.5

Sergey Levine
Associate Professor at UC Berkeley
Sergey Levine 43.3

🚴🏼‍♀️Mona Jalal🚴🏼‍♀️
🚴🏼‍♀️ Computer Vision Ph.D. Candidate @BU_Tweets,X:DawnLight, @twitter, @nvidia , @UCBerkeley, CS&EE Master's @UWMadison 🚲
🚴🏼‍♀️Mona Jalal🚴🏼‍♀️ 41.1

Animesh Garg
Machine Learning for Robotics. Assistant Professor in AI @UofTCompSci & @VectorInst. Also at @UofTRobotics & @NvidiaAI. Here via @StanfordAILab, @berkeley_ai
Animesh Garg 36.2