Papers
How Robots Learn to Classify New Objects Trained from Small Data Sets
Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker et al.
Emergent Behaviors in Mixed-Autonomy Traffic
Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky et al.
Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact
Nima Fazeli, Samuel Zapolsky, Evan Drumwright et al.
Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction
Joseph Campbell, Heni Ben Amor
Learning Partially Contracting Dynamical Systems from Demonstrations
Harish Ravichandar, Iman Salehi, Ashwin Dani
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang et al.
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task
Stephen James, Andrew J. Davison, Edward Johns
image2mass: Estimating the Mass of an Object from Its Image
Trevor Standley, Ozan Sener, Dawn Chen et al.
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?
Roberto Calandra, Andrew Owens, Manu Upadhyaya et al.
Hierarchical Reinforcement Learning with Parameters
Maciej Klimek, Henryk Michalewski, Piotr Mi\loś
Learning a visuomotor controller for real world robotic grasping using simulated depth images
Ulrich Viereck, Andreas Pas, Kate Saenko et al.
Mutual Alignment Transfer Learning
Markus Wulfmeier, Ingmar Posner, Pieter Abbeel
Learning Heuristic Search via Imitation
Mohak Bhardwaj, Sanjiban Choudhury, Sebastian Scherer
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu, Matej Večerík, Thomas Rothörl et al.
Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation
Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar et al.
Learning Robotic Manipulation of Granular Media
Connor Schenck, Jonathan Tompson, Sergey Levine et al.
Optimizing Long-term Predictions for Model-based Policy Search
Andreas Doerr, CHristian Daniel, Duy Nguyen-Tuong et al.
Learning Robot Objectives from Physical Human Interaction
Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley et al.
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
Serkan Cabi, Sergio Gómez Colmenarejo, Matthew W. Hoffman et al.
Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning
Gabriel Kalweit, Joschka Boedecker
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao, David Hsu, Wee Sun Lee et al.
Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models
Jose R. Medina, Aude Billard
Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals
Daniel Tanneberg, Jan Peters, Elmar Rueckert
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks
Zackory Erickson, Sonia Chernova, Charles C. Kemp
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox et al.