Technical Reports - Pieter Abbeel

A Berkeley View of Systems Challenges for AI (EECS-2017-159)
Ion Stoica, Dawn Song, Raluca Ada Popa, David A. Patterson, Michael W. Mahoney, Randy H. Katz, Anthony D. Joseph, Michael Jordan, Joseph M. Hellerstein, Joseph Gonzalez, Ken Goldberg, Ali Ghodsi, David E. Culler and Pieter Abbeel

Scalable High-Quality 3D Scanning (EECS-2016-220)
Karthik Narayan, Pieter Abbeel, Jitendra Malik, Alexei (Alyosha) Efros and Martin Banks

Autonomous Palpation for Tumor Localization: Design of a Palpation Probe and Gaussian Process Adaptive Sampling (EECS-2016-140)
Animesh Garg

Learning Compound Multi-Step Controllers under Unknown Dynamics (EECS-2016-41)
Weiqiao Han, Sergey Levine and Pieter Abbeel

Safety, Risk Awareness and Exploration in Reinforcement Learning (EECS-2016-20)
Teodor Moldovan

Short-Term Traffic Forecasting: Modeling and Learning Spatio-Temporal Relations in Transportation Networks Using Graph Neural Networks (EECS-2015-243)
Behrooz Shahsavari and Pieter Abbeel

Machine Learning for Helicopter Dynamics Models (EECS-2014-219)
Ali Punjani and Pieter Abbeel

Reinforcement Learning Methods to Enable Automatic Tuning of Legged Robots (EECS-2012-145)
Mallory Tayson-Frederick

Reinforcement Learning Methods to Enable Automatic Tuning of Legged Robots (EECS-2012-129)
Nicolas Zeitlin

The Berkeley 3D Object Dataset (EECS-2012-85)
Allison Janoch