rll.berkeley.eduUC Berkeley Robot Learning Lab: Home
rll.berkeley.edu Profile
Rll.berkeley.edu is a subdomain of berkeley.edu,
which was created on 1985-04-24,making it 39 years ago.
It has several subdomains, such as classrooms.berkeley.edu
ceda.berkeley.edu , among others.
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rll.berkeley.edu Information
| HomePage size: 2.862 KB |
| Page Load Time: 0.724024 Seconds |
| Website IP Address: 128.32.244.190 |
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rll.berkeley.edu PopUrls
| Meet Blue | Project Blue https://rll.berkeley.edu/blue/ |
| UC Berkeley Robot Learning Lab: Home https://rll.berkeley.edu/ |
| Berkeley Open Arms https://rll.berkeley.edu/blue/github/ |
| Team | Project Blue https://rll.berkeley.edu/blue/team/ |
| Learning Visual Servoing with Deep Features and Fitted Q ... https://rll.berkeley.edu/visual_servoing/ |
| Guided Policy Search — GPS 0.1 documentation https://rll.berkeley.edu/gps/ |
| Adversarial Attacks on Neural Network Policies https://rll.berkeley.edu/adversarial/ |
| Autonomous Suturing https://rll.berkeley.edu/iros2013suturing/ |
| Contact | Project Blue https://rll.berkeley.edu/blue/contact/ |
| Paper | Project Blue https://rll.berkeley.edu/blue/paper/ |
rll.berkeley.edu Httpheader
| date: Tue, 14 May 2024 10:42:20 GMT |
| server: Apache |
| content-security-policy: upgrade-insecure-requests; |
| last-modified: Tue, 26 Jul 2022 05:59:46 GMT |
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rll.berkeley.edu Ip Information
| Ip Country: United States |
| City Name: El Cerrito |
| Latitude: 37.9145 |
| Longitude: -122.3007 |
rll.berkeley.edu Html To Plain Text
People Research Teaching VideosOutreach Contact About UC Berkeley’s Robot Learning Lab, directed by Professor Pieter Abbeel, is a center for research in robotics and machine learning. A lot of our research is driven by trying to build ever more intelligent systems, which has us pushing the frontiers of deep reinforcement learning, deep imitation learning, deep unsupervised learning, transfer learning, meta-learning, and learning to learn, as well as study the influence of AI on society. We also like to investigate how AI could open up new opportunities in other disciplines. It’s our general belief that if a science or engineering discipline heavily relies on human intuition acquired from seeing many scenarios then it is likely a great fit for AI to help out. In addition to research, we like to teach advanced AI courses, we like to teach executives on how AI will affect their companies, we like to get kids excited about STEM, and we like to start companies. Here is a video on some of our recent work:And here is a fun recent conversation of our lab director with his former PhD advisor Andrew...
rll.berkeley.edu Whois
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