Program

Dec. 8th - Long Beach Conference Center - Room 104 B

Complete list of contributed posters and spotlights


Program (may be subject to change)

8:15 Setup

8:45 Welcome

9:00 Pieter Abbeel: Reducing Data Needs for Real-World Reinforcement Learning

9:30 Pierre Sermanet: Self-Supervised Imitation

10:00 Poster Spotlights 1

    • Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping <Konstantinos Bousmalis; Alex Irpan; Paul wohlhart; Yunfei Bai; Matthew Kelcey; Mrinal Kalakrishnan; Laura Downs; Julian Ibarz; Peter Pastor; Kurt Konolige; Sergey Levine; Vincent Vanhouck>
    • Learning Deep Composable Maximum-Entropy Policies for Real-World Robotic Manipulation <Tuomas Haarnoja; Vitchyr Pong; Aurick Zhou; Murtaza Dalal; Pieter Abbeel; Sergey Levine>
    • SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control <Arunkumar Byravan; Felix Leeb; Franziska Meier; Dieter Fox>
    • Deep Object-Centric Representations for Generalizable Robot Learning <Coline Devin; Pieter Abbeel; Trevor Darrell; Sergey Levine>
    • Learning Flexible and Reusable Locomotion Primitives for a Microrobot <Brian Yang; Grant Wang; Roberto Calandra; Daniel Contreras; Sergey Levine; Kristofer Pister>
    • Learning Robot Skill Embeddings <Karol Hausman; Jost Tobias Springenberg; Ziyu Wang; Nicolas Heess; Martin Riedmiller>

10:30 Coffee Break

11:00 Joshua Tenenbaum: Reverse-engineering human common sense to engineer more human-like robots

11:30 Raquel Urtasun: Deep Learning for Self-Driving Cars

12:00 Poster Spotlights 2

    • Policy Search using Robust Bayesian Optimization <Ruben Martinez-Cantin; Mike Mccourt; Kevin Tee>
    • Learning Robotic Assembly from CAD <Garrett Thomas, Melissa Chien, Aviv Tamar, Juan Aparicio Ojea, Pieter Abbeel>
    • Self-Supervised Visual Planning with Temporal Skip Connections <Frederik D Ebert; Chelsea Finn; Alex Lee; Sergey Levine>
    • Overcoming Exploration in Reinforcement Learning with Demonstrations <Ashvin Nair, Bob McGrew, Marcin Andrychowicz, Wojciech Zaremba, Pieter Abbeel>
    • Deep Reinforcement Learning for Vision-Based Robotic Grasping <Deirdre Quillen, Eric Jang, Ofir Nachum, Chelsea Finn, Julian Ibarz, and Sergey Levine>
    • Soft Value Iteration Networks for Planetary Rover Path Planning <Max Pflueger; Ali Agha; Gaurav Sukhatme>

12:30 Lunch

14:00 Jitendra Malik: Vision for Manipulation and Navigation

14:30 Martial Hebert: Reducing Supervision

15:00 Main Poster Session (Including 15:00-15:30 Coffee Break)

16:00 Panel Discussion (Abbeel, Sermanet, Tenenbaum, Urtasun, Malik, Hebert)

17:15 Closing Remarks