Gregory Kahn

University of California, Berkeley

Papers

23

Total Citations

1,756

H-Index

16

About

No biography available yet.

Research Focus

Computer science23 · 1,756 citations
Artificial intelligence22 · 1,583 citations
Robot16 · 1,266 citations
Machine learning11 · 1,008 citations
Reinforcement learning11 · 1,002 citations
Engineering11 · 924 citations
Robotics6 · 788 citations
Mobile robot5 · 726 citations
Obstacle avoidance3 · 668 citations
Deep learning7 · 642 citations
Artificial neural network8 · 574 citations
Control engineering5 · 486 citations

Key Achievements

16
H-Index
23
Papers
1,756
Total Citations
76
Avg Citations/Paper
🏆 Most Cited Paper
Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search
422 citations · 2016
📈 Most Prolific Year: 2017 (5 Papers)
🤝 Key Collaborators: 141
🏛 Institutions: University of California, Berkeley

Top Papers

  1. 1
    Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search
    422 citations · 2016
  2. 2
    Uncertainty-Aware Reinforcement Learning for Collision Avoidance
    227 citations · 2017
  3. 3
    Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping
    173 citations · 2015
  4. 4
    Autonomous multilateral debridement with the Raven surgical robot
    121 citations · 2014
  5. 5
    Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration<sup>0</sup>
    119 citations · 2024
  6. 6
    Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight
    114 citations · 2019
  7. 7
    Open X-Embodiment: Robotic Learning Datasets and RT-X Models
    101 citations · 2023
  8. 8
    Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads
    94 citations · 2021
  9. 9
    Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation
    75 citations · 2015
  10. 10
    Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning
    68 citations · 2018

Key Collaborators

SLSergey Levine16 shared papersPAPieter Abbeel14 shared papersSPSachin Patil5 shared papersANAnusha Nagabandi5 shared papersRSRonald S. Fearing5 shared papersKGKen Goldberg4 shared papersGYGuangzhao Yang3 shared papersGSGaurav S. Sukhatme3 shared papersAVAdam Villaflor3 shared papersTAThomas Asmar3 shared papersKKKatie Kang3 shared papersTZTianhao Zhang3 shared papersSBSuneel Belkhale3 shared papersABAlex Bewley2 shared papersASAnikait Singh2 shared papersIMIgor Mordatch2 shared papersBSBernhard Schölkopf2 shared papersAJAjinkya Jain2 shared papersBBBen Burgess-Limerick2 shared papersCPChuer Pan2 shared papers
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