Anurag Ajay

University of California, Berkeley, Massachusetts Institute of Technology, Moscow Institute of Thermal Technology

Papers

10

Total Citations

390

H-Index

7

About

No biography available yet.

Research Focus

Artificial intelligence10 · 390 citations
Computer science10 · 390 citations
Mathematics5 · 282 citations
Machine learning5 · 203 citations
Latent variable2 · 174 citations
Estimator2 · 174 citations
Convolutional neural network2 · 174 citations
Generative grammar2 · 174 citations
Generative model2 · 174 citations
Discriminative model2 · 174 citations
Pattern recognition (psychology)2 · 174 citations
Probabilistic logic2 · 174 citations

Key Achievements

7
H-Index
10
Papers
390
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Backprop KF: Learning Discriminative Deterministic State Estimators
102 citations · 2016
📈 Most Prolific Year: 2016 (3 Papers)
🤝 Key Collaborators: 45
🏛 Institutions: University of California, Berkeley, Massachusetts Institute of Technology, Moscow Institute of Thermal Technology

Top Papers

  1. 1
    Backprop KF: Learning Discriminative Deterministic State Estimators
    102 citations · 2016
  2. 2
    Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
    95 citations · 2018
  3. 3
    Backprop KF: learning discriminative deterministic state estimators
    72 citations · 2016
  4. 4
    OpenEQA: Embodied Question Answering in the Era of Foundation Models
    46 citations · 2024
  5. 5
    Learning to Navigate Endoscopic Capsule Robots
    29 citations · 2019
  6. 6
    Reset-free guided policy search: Efficient deep reinforcement learning with stochastic initial states
    24 citations · 2017
  7. 7
    Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing
    11 citations · 2018
  8. 8
    Combining Physical Simulators and Object-Based Networks for Control
    6 citations · 2019
  9. 9
    Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States
    3 citations · 2016
  10. 10
    Distributionally Adaptive Meta Reinforcement Learning
    2 citations · 2022

Key Collaborators

SLSergey Levine5 shared papersPAPieter Abbeel4 shared papersLPLeslie Pack Kaelbling3 shared papersJBJoshua B. Tenenbaum3 shared papersARAlberto Rodríguez3 shared papersMBMaria Bauzá3 shared papersNFNima Fazeli3 shared papersJWJiajun Wu3 shared papersTHTuomas Haarnoja2 shared papersWMWilliam Montgomery2 shared papersCFChelsea Finn2 shared papersXZXiaohan Zhang1 shared papersOMOleksandr Maksymets1 shared papersDBDhruv Batra1 shared papersYBYonatan Bisk1 shared papersPMPaul Mcvay1 shared papersCPChris Paxton1 shared papersHAHélder Araújo1 shared papersMSMetin Sitti1 shared papersARAravind Rajeswaran1 shared papers
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