1k citations
- Stanford UniversityUS33 papers
- Google (United States)US32 papers
- University of Illinois Urbana-ChampaignUS32 papers
- University of California, BerkeleyUS29 papers
- Massachusetts Institute of TechnologyUS28 papers
- Carnegie Mellon UniversityUS26 papers
- University of California San DiegoUS25 papers
- University College LondonGB22 papers
- Georgia Institute of TechnologyUS21 papers
- University of Maryland, College ParkUS21 papers
- University of MichiganUS18 papers
- University of Southern CaliforniaUS16 papers
Showing 2018 · cs.AIShow all
3 papers · 2 filters
cs.AI2018
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots
Xin Ye, Zhe Lin, Haoxiang Li +2
We study the problem of learning a navigation policy for a robot to actively search for an object of interest in an indoor environment solely from its visual inputs. While scene-dr…
cs.AI2018★ 59 cited
Attention Models in Graphs: A Survey
John Boaz Lee, Ryan A. Rossi, Sungchul Kim +2
Graph-structured data arise naturally in many different application domains. By representing data as graphs, we can capture entities (i.e., nodes) as well as their relationships (i…
cs.AI2018★ 10 cited
More Robust Doubly Robust Off-policy Evaluation
Mehrdad Farajtabar, Yinlam Chow, Mohammad Ghavamzadeh
We study the problem of off-policy evaluation (OPE) in reinforcement learning (RL), where the goal is to estimate the performance of a policy from the data generated by another pol…