CoRL 2017

49 papers

Active Incremental Learning of Robot Movement Primitives Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters

Adaptable Pouring: Teaching Robots Not to Spill Using Fast but Approximate Fluid Simulation Tatiana Lopez-Guevara, Nicholas K Taylor, Michael U Gutmann, Subramanian Ramamoorthy, Kartic Subr

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg

Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping Ransalu Senanayake, Fabio Ramos

Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction Joseph Campbell, Heni Ben Amor

CARLA: An Open Urban Driving Simulator Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun

CORe50: A New Dataset and Benchmark for Continuous Object Recognition Vincenzo Lomonaco, Davide Maltoni

DART: Noise Injection for Robust Imitation Learning Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, Ken Goldberg

DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg

Deep Kernels for Optimizing Locomotion Controllers Rika Antonova, Akshara Rai, Christopher G. Atkeson

Efficient Automatic Perception System Parameter Tuning on Site Without Expert Supervision Humphrey Hu, George Kantor

Emergent Behaviors in Mixed-Autonomy Traffic Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen

End-to-End Learning of Semantic Grasping Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine

Extending Model-Based Policy Gradients for Robots in Heteroscedastic Environments John Martin, Brendan Englot

Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation Yan Zuo, Tom Drummond

Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection Nikhil Das, Naman Gupta, Michael Yip

Gradient-Free Policy Architecture Search and Adaptation Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell

Harvesting Common-Sense Navigational Knowledge for Robotics from Uncurated Text Corpora Nancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate

Hierarchical Reinforcement Learning with Parameters Maciej Klimek, Henryk Michalewski, Piotr Miłoś

How Robots Learn to Classify New Objects Trained from Small Data Sets Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel

Image2mass: Estimating the Mass of an Object from Its Image Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese

Improved Adversarial Systems for 3D Object Generation and Reconstruction Edward J. Smith, David Meger

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian

Learning a Visuomotor Controller for Real World Robotic Grasping Using Simulated Depth Images Ulrich Viereck, Andreas Pas, Kate Saenko, Robert Platt

Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact Nima Fazeli, Samuel Zapolsky, Evan Drumwright, Alberto Rodriguez

Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences Jeffrey Mahler, Ken Goldberg

Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems Joshua Whitman, Girish Chowdhary

Learning End-to-End Multimodal Sensor Policies for Autonomous Navigation Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela Veloso, George Kantor

Learning Heuristic Search via Imitation Mohak Bhardwaj, Sanjiban Choudhury, Sebastian Scherer

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics Nishant Shukla, Yunzhong He, Frank Chen, Song-Chun Zhu

Learning Partially Contracting Dynamical Systems from Demonstrations Harish Ravichandar, Iman Salehi, Ashwin Dani

Learning Robot Objectives from Physical Human Interaction Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley, Anca D. Dragan

Learning Robotic Manipulation of Granular Media Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models Jose R. Medina, Aude Billard

Mutual Alignment Transfer Learning Markus Wulfmeier, Ingmar Posner, Pieter Abbeel

One-Shot Visual Imitation Learning via Meta-Learning Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine

Online Learning with Stochastic Recurrent Neural Networks Using Intrinsic Motivation Signals Daniel Tanneberg, Jan Peters, Elmar Rueckert

Opportunistic Active Learning for Grounding Natural Language Descriptions Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin Hart, Peter Stone, Raymond J. Mooney

Optimizing Long-Term Predictions for Model-Based Policy Search Andreas Doerr, CHristian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Toussaint Marc, Sebastian Trimpe

Principal Variety Analysis Reza Iraji, Hamidreza Chitsaz

Reverse Curriculum Generation for Reinforcement Learning Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel

Self-Supervised Visual Planning with Temporal Skip Connections Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine

Semi-Supervised Haptic Material Recognition for Robots Using Generative Adversarial Networks Zackory Erickson, Sonia Chernova, Charles C. Kemp

Sim-to-Real Robot Learning from Pixels with Progressive Nets Andrei A. Rusu, Matej Večerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell

The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes? Roberto Calandra, Andrew Owens, Manu Upadhyaya, Wenzhen Yuan, Justin Lin, Edward H. Adelson, Sergey Levine

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously Serkan Cabi, Sergio Gómez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando Freitas

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task Stephen James, Andrew J. Davison, Edward Johns

Uncertainty-Driven Imagination for Continuous Deep Reinforcement Learning Gabriel Kalweit, Joschka Boedecker