Standout Papers

Maximum Entropy Inverse Reinforcement Learning 2008 2026 2014 2020 720
  1. Maximum Entropy Inverse Reinforcement Learning (2008)
    Brian D. Ziebart, Andrew L. Maas et al. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University)

Immediate Impact

1 by Nobel laureates 8 from Science/Nature 73 standout
Sub-graph 1 of 20

Citing Papers

AI for science: Predicting infectious diseases
2024 Standout
AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications
2024 Standout
2 intermediate papers

Works of Brian D. Ziebart being referenced

Maximum Entropy Inverse Reinforcement Learning
2008 Standout

Author Peers

Author Last Decade Papers Cites
Brian D. Ziebart 655 332 278 36 1.3k
Fernando Fernández 702 371 144 69 1.3k
Xinhu Zheng 318 326 238 30 1.3k
Jun Jason Zhang 418 241 134 61 1.6k
Geoff Gordon 614 206 448 32 1.2k
Nathan Ratliff 417 695 917 21 1.4k
Anca D. Dragan 458 749 537 55 1.5k
Yilun Lin 358 545 271 34 1.7k
Ngoc Duy Nguyen 334 251 100 15 1.1k
Joseph Modayil 595 217 215 17 1.2k
Dirk Wollherr 302 667 442 114 1.5k

All Works

Loading papers...

Rankless by CCL
2026