Sergey V. Levine 750 Sutardja Dai Hall Berkeley CA 94720

Transcription

1 Sergey V. Levine 750 Sutardja Dai Hall Berkeley CA Education Stanford University, Stanford CA PhD, Department of Computer Science Dissertation Title: Motor Skill Learning with Local Trajectory Methods Dissertation Adviser: Vladlen Koltun Stanford University, Stanford CA Bachelor of Science, Department of Computer Science Departmental Honors Master of Science, Department of Computer Science Distinction in Research Employment History University of Washington, Assistant Professor starting April 2016 Department of Computer Science and Engineering Google, Research Scientist Research in machine learning and robotics UC Berkeley Post-Doctoral Researcher, with Pieter Abbeel Research in machine learning, robotics, and optimal control 2015 present 2014 present Stanford Virtual Worlds Group, with Vladlen Koltun Interdisciplinary research in machine learning and computer graphics Adobe Creative Technologies Lab, with Jovan Popović Animation of physics-driven characters for games and virtual environments Electronic Arts, Gameplay Engineer Intern 2008 Physics simulation and shader programming for Playstation 3 and Xbox 360 Microsoft, SDE Intern 2007 Design and prototyping of a new vector graphics API NVIDIA, Intern with OpenVG Group 2006 Development of a hardware-accelerated OpenVG implementation for mobile devices Microsoft, SDET Intern 2005 Automated testing for certification of dynamically partitioned servers Independent amateur game development Programming, 3D modeling, supervision of a 10-person development team Teaching Instructor, CS 148: Introduction to Computer Graphics and Imaging Summer 2013 Taught 3D rendering, image processing, and other computer graphics topics Guest Lecturer, CS 248: Interactive Computer Graphics Winter 2010, 2011 Guest lectures on animation, simulation, and game engine architectures

2 Course Assistant, CS 448: Character Animation Spring 2009 Designed and graded assignments on animation and motion capture Journal and Conference Publications Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik. Recurrent Network Models for Human Dynamics. Invernational Conference on Computer Vision (ICCV) Alex X. Lee, Abhishek Gupta, Henry Lu, Sergey Levine, Pieter Abbeel. Learning from Multiple Demonstrations using Trajectory-Aware Non-Rigid Registration with Applications to Deformable Object Manipulation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Weiqiao Han, Sergey Levine, Pieter Abbeel. Learning Compound Multi-Step Controllers under Unknown Dynamics. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) John Schulman, Sergey Levine, Philipp Moritz, Michael I. Jordan, Pieter Abbeel. Trust Region Policy Optimization. Proceedings of the 32nd International Conference on Machine Learning (ICML) Sergey Levine, Nolan Wagener, Pieter Abbeel. Learning Contact-Rich Manipulation Skills with Guided Policy Search. International Conference on Robotics and Automation (ICRA) Alex X. Lee, Henry Lu, Abhishek Gupta, Sergey Levine, Pieter Abbeel. Learning Force-Based Manipulation of Deformable Objects from Multiple Demonstrations. International Conference on Robotics and Automation (ICRA) Teodor Mihai Moldovan, Sergey Levine, Michael I. Jordan, Pieter Abbeel. Optimism-Driven Exploration for Nonlinear Systems. International Conference on Robotics and Automation (ICRA) Sergey Levine, Pieter Abbeel. Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics. Neural Information Processing Systems (NIPS) Sergey Levine, Vladlen Koltun. Learning Complex Neural Network Policies with Trajectory Optimization. Proceedings of the 31st International Conference on Machine Learning (ICML) Travis Mandel, Yun-En Liu, Sergey Levine, Emma Brunskill, Zoran Popović. Offline Policy Evaluation Across Representations with Applications to Educational Games. Proceedings of the 2014 International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS) Sergey Levine, Vladlen Koltun. Variational Policy Search via Trajectory Optimization. Neural Information Processing Systems (NIPS) Sergey Levine, Vladlen Koltun. Guided Policy Search. Proceedings of the 30th International Conference on Machine Learning (ICML) Sergey Levine, Jack M. Wang, Alexis Haraux, Zoran Popović, Vladlen Koltun. Continuous Character Control with Low-Dimensional Embeddings. ACM Transactions on Graphics (ACM SIGGRAPH 39)

3 Sergey Levine, Jovan Popović. Physically Plausible Simulation for Character Animation. Proceedings of the Eurographics/ACM SIGGRAPH Symposium on Computer Animation (SCA) Sergey Levine, Vladlen Koltun. Continuous Inverse Optimal Control with Locally Optimal Examples. Proceedings of the 29th International Conference on Machine Learning (ICML) Sergey Levine, Zoran Popović, Vladlen Koltun. Nonlinear Inverse Reinforcement Learning with Gaussian Processes. Neural Information Processing Systems 24 (NIPS) Sergey Levine, Yongjoon Lee, Vladlen Koltun, Zoran Popović. Space-Time Planning with Parameterized Locomotion Controllers. ACM Transactions on Graphics 26, Sergey Levine, Zoran Popović, Vladlen Koltun. Feature Construction for Inverse Reinforcement Learning. Neural Information Processing Systems 23 (NIPS) Sergey Levine, Philip Khrähenbühl, Sebastian Thrun, Vladlen Koltun. Gesture Controllers. ACM Transactions on Graphics (ACM SIGGRAPH 37) Sergey Levine, Christian Theobalt, Vladlen Koltun. Real-Time Prosody-Driven Synthesis of Body Language. ACM Transactions on Graphics (ACM SIGGRAPH Asia 2) Workshop Papers and Abstracts John Schulman, Philipp Moritz, Sergey Levine, Pieter Abbeel. Generalized Advantage Estimation for Policy Gradients. European Workshop on Reinforcement Learning (EWRL) Sergey Levine*, Chelsea Finn*, Trevor Darrell, Pieter Abbeel. End-to-End Training of Deep Visuomotor Policies. International Conference on Machine Learning (ICML) Deep Learning Learning Workshop Sergey Levine, Nolan Wagener, Pieter Abbeel. Learning Torque-Driven Manipulation Primitives with a Multilayer Neural Network. Neural Information Processing Systems (NIPS) Deep Learning and Representation Learning Workshop John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, Pieter Abbeel. Trust Region Policy Optimization. Neural Information Processing Systems (NIPS) Deep Learning and Representation Learning Workshop Sergey Levine, Pieter Abbeel. Learning Locomotion Controllers via Trajectory Optimization. RSS Workshop on Dynamic Locomotion John Schulman, Sergey Levine, Pieter Abbeel. Learning Locomotion Controllers with a Policy Iteration Algorithm. RSS Workshop on Dynamic Locomotion Sergey Levine, Pieter Abbeel. Learning Dynamic Manipulation Skills under Unknown Dynamics with Guided Policy Search. RSS Workshop on Human versus Robot Grasping and Manipulation Jeffrey Mahler, Michael Laskey, John Schulman, Sergey Levine, Jeff Donahue, Sachin Patil, Pieter Abbeel, Ken Goldberg. Learning Dynamics in Visual Space for Image-Based Planning and Control. RSS Workshop on Information-based Grasp and Manipulation Planning

4 Sergey Levine. Exploring Deep and Recurrent Architectures for Optimal Control. Neural Information Processing Systems (NIPS) Workshop on Deep Learning Taesung Park, Sergey Levine. Inverse Optimal Control for Humanoid Locomotion. Robotics Science and Systems (RSS) Workshop on Inverse Optimal Control & Robotic Learning from Demonstration Theses and Research Reports Sergey Levine. Motor Skill Learning with Local Trajectory Methods. PhD thesis, Stanford University Department of Computer Science Sergey Levine. Modeling Body Language from Speech in Natural Conversation. Master s research report, Stanford University Department of Computer Science Sergey Levine. Body Language Animation Synthesis from Prosody. Undergraduate thesis, Stanford University Department of Computer Science Professional Activities Workshop Organization: Workshop on Learning from Demonstration, RSS 2015 Workshop on Novel Trends and Applications in Reinforcement Learning, NIPS 2014 Conference Program Committee: ACM/Eurographics Symposium on Computer Animation 2015, 2014 Pacific Graphics 2012 Paper Reviewing: Neural Information Processing Systems (NIPS) 2015, 2014 International Conference on Learning Representations (ICLR) 2016, 2015 International Joint Conference on Artificial Intelligence (IJCAI) 2015 ACM SIGGRAPH 2015, 2014, 2013 ACM SIGGRAPH Asia 2014, 2012 ACM Transactions on Graphics 2015, 2013, 2012, 2010 Eurographics 2015, 2013 IEEE TVCG 2014, 2013 Pacific Graphics 2014, 2012, 2011 Computer Graphics Forum 2014 IEEE Transactions on Robotics 2015, 2014 IROS 2015, 2014, 2012 ICRA 2015, 2013 Humanoids 2014, 2013 Honors and Awards IEEE ICRA Best Manipulation Paper 2015 NVIDIA Graduate Fellowship 2013 National Science Foundation Graduate Research Fellowship 2010 Stanford School of Engineering Fellowship 2009 Firestone Medal for Excellence in Undergraduate Research 2009 Ben Wegbreit Prize for best computer science honors thesis 2009 Frederick Emmons Terman Engineering Scholastic Award 2009

5 Affiliations Member, IEEE Member, ACM SIGGRAPH Tau Beta Pi Engineering Honor Society Member 2015 present 2009 present 2008 present Press Coverage This Preschool is for Robots, by Jack Clark. Bloomberg Business. 2 September, Robot Demonstrates Human-Like Learning Abilities, by Jonathan Bloom. ABC 7 News. 22 May Deep Learning Robots, DRC Practice, and Drone Pilot Competition, by Evan Ackerman. IEEE Spectrum. 22 May New approach trains robots to match human dexterity and speed, by John Markoff. The New York Times. 21 May UC Berkeley Develops Deep Learning Robot, by Dian Schaffhauser. Campus Technology. 21 May New deep learning technique enables robot mastery of skills via trial and error, by Sarah Yang. UC Berkeley News Center. 21 May Avatars learn gestures to match your tone of voice, by MacGregor Campbell. New Scientist. 10 September 2010.