Gregory Kahn
Gregory Kahn
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning
A Nagabandi, G Kahn, RS Fearing, S Levine
2018 IEEE International Conference on Robotics and Automation (ICRA), 7559-7566, 2018
4152018
Learning deep control policies for autonomous aerial vehicles with mpc-guided policy search
T Zhang, G Kahn, S Levine, P Abbeel
Robotics and Automation (ICRA), 2016 IEEE International Conference on, 528-535, 2016
2772016
Uncertainty-Aware Reinforcement Learning for Collision Avoidance
G Kahn, A Villaflor, V Pong, P Abbeel, S Levine
arXiv preprint arXiv:1702.01182, 2017
1432017
Self-supervised deep reinforcement learning with generalized computation graphs for robot navigation
G Kahn, A Villaflor, B Ding, P Abbeel, S Levine
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-8, 2018
1382018
Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping
B Charrow, G Kahn, S Patil, S Liu, K Goldberg, P Abbeel, N Michael, ...
Robotics: Science and Systems, 2015
1172015
Plato: Policy learning using adaptive trajectory optimization
G Kahn, T Zhang, S Levine, P Abbeel
Robotics and Automation (ICRA), 2017 IEEE International Conference on, 3342-3349, 2017
1022017
Autonomous multilateral debridement with the raven surgical robot
B Kehoe, G Kahn, J Mahler, J Kim, A Lee, A Lee, K Nakagawa, S Patil, ...
2014 IEEE International Conference on Robotics and Automation (ICRA), 1432-1439, 2014
942014
Scaling up gaussian belief space planning through covariance-free trajectory optimization and automatic differentiation
S Patil, G Kahn, M Laskey, J Schulman, K Goldberg, P Abbeel
Algorithmic Foundations of Robotics XI, 515-533, 2015
752015
Active Exploration using Trajectory Optimization for Robotic Grasping in the Presence of Occlusions
G Kahn, P Sujan, S Patil, S Bopardikar, J Ryde, K Goldberg, P Abbeel
Robotics and Automation (ICRA), 2015 IEEE International Conference on, 2015
352015
Generalization through simulation: Integrating simulated and real data into deep reinforcement learning for vision-based autonomous flight
K Kang, S Belkhale, G Kahn, P Abbeel, S Levine
2019 International Conference on Robotics and Automation (ICRA), 6008-6014, 2019
322019
Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots
A Nagabandi, G Yang, T Asmar, R Pandya, G Kahn, S Levine, RS Fearing
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
23*2018
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System
G Kahn, P Abbeel, S Levine
arXiv preprint arXiv:2002.05700, 2020
92020
Robustness to out-of-distribution inputs via task-aware generative uncertainty
R McAllister, G Kahn, J Clune, S Levine
2019 International Conference on Robotics and Automation (ICRA), 2083-2089, 2019
82019
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
G Kahn, A Villaflor, P Abbeel, S Levine
2nd Conference on Robot Learning (CoRL 2018), Zürich, Switzerland, 2018
62018
Model-Based Meta-Reinforcement Learning for Flight with Suspended Payloads
S Belkhale, R Li, G Kahn, R McAllister, R Calandra, S Levine
arXiv preprint arXiv:2004.11345, 2020
32020
Occlusion-aware multi-robot 3D tracking
K Hausman, G Kahn, S Patil, J Müller, K Goldberg, P Abbeel, ...
Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International …, 2016
32016
LaND: Learning to Navigate from Disengagements
G Kahn, P Abbeel, S Levine
arXiv preprint arXiv:2010.04689, 2020
2020
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Articles 1–17