Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Title | Christoph |
Description | Christoph Dann, Research |
Keywords | N/A |
WebSite | cdann.net |
Host IP | 185.199.111.153 |
Location | - |
Site | Rank |
US$2,123
Last updated: 2023-05-20 07:26:55
cdann.net has Semrush global rank of 0. cdann.net has an estimated worth of US$ 2,123, based on its estimated Ads revenue. cdann.net receives approximately 244 unique visitors each day. Its web server is located in -, with IP address 185.199.111.153. According to SiteAdvisor, cdann.net is safe to visit. |
Purchase/Sale Value | US$2,123 |
Daily Ads Revenue | US$1 |
Monthly Ads Revenue | US$58 |
Yearly Ads Revenue | US$705 |
Daily Unique Visitors | 16 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
cdann.net. | A | 86400 | IP: 185.199.111.153 |
cdann.net. | A | 86400 | IP: 185.199.110.153 |
cdann.net. | A | 86400 | IP: 185.199.109.153 |
cdann.net. | A | 86400 | IP: 185.199.108.153 |
cdann.net. | NS | 86400 | NS Record: robotns3.second-ns.com. |
cdann.net. | NS | 86400 | NS Record: robotns2.second-ns.de. |
cdann.net. | NS | 86400 | NS Record: ns1.first-ns.de. |
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cdann.net. | MX | 86400 | MX Record: 10 alt3.aspmx.l.google.com. |
Christoph Dann Welcome! I am a Research Scientist at Google Research. My research focuses on fundamental questions in reinforcement learning. Before, I obtained my PhD in the Machine Learning Department at Carnegie Mellon University, where I was advised by Emma Brunskill . Email: cdann@cdann.net Github: chrodan Linkedin Google Scholar Curriculum Vitae News April 2022: Our paper A Model Selection Approach for Corruption Robust Reinforcement Learning won the best paper award at ALT 2022. October 2019: I am excited to join Google Research as a Research Scientist! September 2019: After 5 fabulous years in the machine learning department at CMU, I successfully defended my PhD at CMU. Summer 2018: I am interning at Google Cloud AI Research, working with Lihong Li and Wei Wei. December 2017: I was excited to present our work on uniform PAC, a new learning framework that combines the advantages of the existing PAC and regret frameworks, as a spotlight and poster at NeurIPS. I also got a best |
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