Papers
Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences
Jeffrey Mahler, Ken Goldberg
Gradient-free Policy Architecture Search and Adaptation
Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection
Nikhil Das, Naman Gupta, Michael Yip
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier et al.
Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems
Joshua Whitman, Girish Chowdhary
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping
Ransalu Senanayake, Fabio Ramos
Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics
Nishant Shukla, Yunzhong He, Frank Chen et al.
Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments
John Martin, Brendan Englot
DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations
Sanjay Krishnan, Roy Fox, Ion Stoica et al.
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.
Self-Supervised Visual Planning with Temporal Skip Connections
Frederik Ebert, Chelsea Finn, Alex X. Lee 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.