Evolutionary robotics, Learning, Reinforcement learning, Computer vision, Machine learning, Artificial intelligence
Daniel S. Brown
In particular, I've worked on methods that give a robots and other autonomous agents the ability to provide high-confidence bounds on performance when learning a policy from a limited number of demonstrations, ask risk-aware queries to better resolve ambiguities and perform robust policy ...
Daniel S. Brown
In particular, I've worked on methods that give a robots and other autonomous agents the ability to provide high-confidence bounds on performance when learning a policy from a limited ...
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Gregory Kahn
Self-supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation Gregory Kahn, Adam Villaflor, Bosen Ding, Pieter Abbeel, Sergey Levine ICRA 2018. Neural ...
Robotics Today latest talks – Raia Hadsell (DeepMind), Koushil Sreenath (UC Berkeley) and Antonio Bicchi (Istituto Italiano di Tecnologia)
In this post we bring you the last talks that Robotics Today (currently on hiatus) uploaded to their YouTube channel: Raia Hadsell from DeepMind talking about ‘Scalable Robot Learning in ...
UGent Data Science Seminar: Prof. Pieter Abbeel
Thu, Sep 6, 2018, 11:00 AM: Speaker: Prof. Pieter Abbeel (UC Berkeley)http://people.eecs.berkeley.edu/~pabbeel/Title:Deep Learning to learnAbstract:Reinforcement learning and imitation ...
IRIM and ML Joint Seminar—Pieter Abbeel of Berkeley
The Institute for Robotics and Intelligent Machines and the Machine Learning Center present “Deep Learning to Learn” by Pieter Abbeel of Berkeley University. Abstract Reinforcement learning ...
Opportunities to Shine at ShanghaiTech University
Post-Doc position in Andre Rosendo's research group (Deep Bayesian Robotics area), SIST We are accepting applications for an open Post-Doc position...
Our Instructions for AI Will Never Be Specific Enough
AI excels at following human commands. That may be a problem.
Open Data Science Conference
Get the Most Out of ODSC West! Check out our conference guide.
Conference on Robot Learning (CoRL) 2018
Website supporting the Conferences on Robot Learning Series
ACM Prize in Computing Recognizes Pioneer of Robot Learning
Abbeel recognized for contributions to robot learning, including learning from demonstrations and deep reinforcement learning for robotic control. Abbeel pioneered teaching robots to learn ...
Task-Informed Grasping: Agri-Food manipulation (TIG-III)
A Full-day workshop at International Conference on Robotics and Automation From 30 May to 5 June 2021 Xi’an – China Previous workshops from this series: TIG-II at RSS 2019 ( TIG-I at I…
Interview with Tao Chen, Jie Xu and Pulkit Agrawal: CoRL 2021 best paper award winners
To speed up the learning process, we first train the policy with privileged state information such as object velocities. We developed a general system that can be used to train controllers ...
People of ACM - Peiter Abbeel
A People of ACM interview with Pieter Abbeel, a Professor at the University of California, Berkeley
Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world
MIT civil engineering assistant professor Cathy Wu explains how a robot named Putzputz launched her career in robotics, what makes human-robot interactions so challenging, and why robots ...
Adrian Weller
He has broad interests across machine learning and artificial intelligence (AI), their applications, and helping to ensure beneficial outcomes for society, including: explainability, ...