Publications (25)
BoostClean: Automated Error Detection and Repair for Machine Learning
Sanjay Krishnan, Michael J. Franklin, Ken Goldberg +1
Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning
Richard Liaw, Sanjay Krishnan, Animesh Garg +3
Multi-Level Discovery of Deep Options
Roy Fox, Sanjay Krishnan, Ion Stoica +1
Learning to Optimize Join Queries With Deep Reinforcement Learning
Sanjay Krishnan, Zongheng Yang, Ken Goldberg +2
HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards
Sanjay Krishnan, Animesh Garg, Richard Liaw +3
Constraint Estimation and Derivative-Free Recovery for Robot Learning from Demonstrations
Jonathan Lee, Michael Laskey, Roy Fox +1
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
Michael Danielczuk, Matthew Matl, Saurabh Gupta +4
RLlib: Abstractions for Distributed Reinforcement Learning
Eric Liang, Richard Liaw, Philipp Moritz +6
Learning Robust Bed Making using Deep Imitation Learning with DART
Michael Laskey, Chris Powers, Ruta Joshi +2
IPIP: A New Approach to Inverse Planning for HDR Brachytherapy by Directly Optimizing Dosimetric Indices
Timmy Siauw, Adam Cunha, Alper Atamturk +3
Toward a Science of Autonomy for Physical Systems: Paths
Pieter Abbeel, Ken Goldberg, Gregory Hager +1
A Fog Robotic System for Dynamic Visual Servoing
Nan Tian, Jinfa Chen, Mas Ma +4
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
Sanjay Krishnan, Roy Fox, Ion Stoica +1
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox +2
A Berkeley View of Systems Challenges for AI
Ion Stoica, Dawn Song, Raluca Ada Popa +11
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
Sanjay Krishnan, Jiannan Wang, Eugene Wu +2
Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views
Sanjay Krishnan, Jiannan Wang, Michael J. Franklin +2
Fast and Reliable Autonomous Surgical Debridement with Cable-Driven Robots Using a Two-Phase Calibration Procedure
Daniel Seita, Sanjay Krishnan, Roy Fox +3
Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz +5
Deep Imitation Learning for Complex Manipulation Tasks from Virtual Reality Teleoperation
Tianhao Zhang, Zoe McCarthy, Owen Jow +4
Dynamic Regret Convergence Analysis and an Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning
Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani +2
Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models
Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan +5
A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering
Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz +2
Dex-Net 3.0: Computing Robust Robot Vacuum Suction Grasp Targets in Point Clouds using a New Analytic Model and Deep Learning
Jeffrey Mahler, Matthew Matl, Xinyu Liu +3
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations
Michael Laskey, Caleb Chuck, Jonathan Lee +5