Volume 78: Conference on Robot Learning, 13-15 November 2017,

[edit]

Editors: Sergey Levine, Vincent Vanhoucke, Ken Goldberg

[bib][citeproc]

CARLA: An Open Urban Driving Simulator

Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, Vladlen Koltun ; PMLR 78:1-16

CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Vincenzo Lomonaco, Davide Maltoni ; PMLR 78:17-26

Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation

Yan Zuo, Tom Drummond ; PMLR 78:27-36

Active Incremental Learning of Robot Movement Primitives

Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters ; PMLR 78:37-46

Deep Kernels for Optimizing Locomotion Controllers

Rika Antonova, Akshara Rai, Christopher G. Atkeson ; PMLR 78:47-56

Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision

Humphrey Hu, George Kantor ; PMLR 78:57-66

Opportunistic Active Learning for Grounding Natural Language Descriptions

Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin Hart, Peter Stone, Raymond J. Mooney ; PMLR 78:67-76

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 ; PMLR 78:77-86

Improved Adversarial Systems for 3D Object Generation and Reconstruction

Edward J. Smith, David Meger ; PMLR 78:87-96

Principal Variety Analysis

Reza Iraji, Hamidreza Chitsaz ; PMLR 78:97-108

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots ; PMLR 78:109-118

End-to-End Learning of Semantic Grasping

Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine ; PMLR 78:119-132

Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control

Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg ; PMLR 78:133-142

DART: Noise Injection for Robust Imitation Learning

Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, Ken Goldberg ; PMLR 78:143-156

Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks

Zackory Erickson, Sonia Chernova, Charles C. Kemp ; PMLR 78:157-166

Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

Daniel Tanneberg, Jan Peters, Elmar Rueckert ; PMLR 78:167-174

Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov Models

Jose R. Medina, Aude Billard ; PMLR 78:175-184

Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation

Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian ; PMLR 78:185-194

Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning

Gabriel Kalweit, Joschka Boedecker ; PMLR 78:195-206

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 ; PMLR 78:207-216

Learning Robot Objectives from Physical Human Interaction

Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley, Anca D. Dragan ; PMLR 78:217-226

Optimizing Long-term Predictions for Model-based Policy Search

Andreas Doerr, CHristian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Toussaint Marc, Sebastian Trimpe ; PMLR 78:227-238

Learning Robotic Manipulation of Granular Media

Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox ; PMLR 78:239-248

Learning End-to-end Multimodal Sensor Policies for Autonomous Navigation

Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela Veloso, George Kantor ; PMLR 78:249-261

Sim-to-Real Robot Learning from Pixels with Progressive Nets

Andrei A. Rusu, Matej Večerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell ; PMLR 78:262-270

Learning Heuristic Search via Imitation

Mohak Bhardwaj, Sanjiban Choudhury, Sebastian Scherer ; PMLR 78:271-280

Mutual Alignment Transfer Learning

Markus Wulfmeier, Ingmar Posner, Pieter Abbeel ; PMLR 78:281-290

Learning a visuomotor controller for real world robotic grasping using simulated depth images

Ulrich Viereck, Andreas Pas, Kate Saenko, Robert Platt ; PMLR 78:291-300

Hierarchical Reinforcement Learning with Parameters

Maciej Klimek, Henryk Michalewski, Piotr Mi\loś ; PMLR 78:301-313

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 ; PMLR 78:314-323

image2mass: Estimating the Mass of an Object from Its Image

Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese ; PMLR 78:324-333

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

Stephen James, Andrew J. Davison, Edward Johns ; PMLR 78:334-343

Self-Supervised Visual Planning with Temporal Skip Connections

Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine ; PMLR 78:344-356

One-Shot Visual Imitation Learning via Meta-Learning

Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine ; PMLR 78:357-368

Learning Partially Contracting Dynamical Systems from Demonstrations

Harish Ravichandar, Iman Salehi, Ashwin Dani ; PMLR 78:369-378

Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction

Joseph Campbell, Heni Ben Amor ; PMLR 78:379-387

Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact

Nima Fazeli, Samuel Zapolsky, Evan Drumwright, Alberto Rodriguez ; PMLR 78:388-397

Emergent Behaviors in Mixed-Autonomy Traffic

Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen ; PMLR 78:398-407

How Robots Learn to Classify New Objects Trained from Small Data Sets

Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel ; PMLR 78:408-417

DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations

Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg ; PMLR 78:418-437

Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments

John Martin, Brendan Englot ; PMLR 78:438-447

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics

Nishant Shukla, Yunzhong He, Frank Chen, Song-Chun Zhu ; PMLR 78:448-457

Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping

Ransalu Senanayake, Fabio Ramos ; PMLR 78:458-471

Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems

Joshua Whitman, Girish Chowdhary ; PMLR 78:472-481

Reverse Curriculum Generation for Reinforcement Learning

Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel ; PMLR 78:482-495

Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection

Nikhil Das, Naman Gupta, Michael Yip ; PMLR 78:496-504

Gradient-free Policy Architecture Search and Adaptation

Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell ; PMLR 78:505-514

Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping Sequences

Jeffrey Mahler, Ken Goldberg ; PMLR 78:515-524

Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora

Nancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate ; PMLR 78:525-534

subscribe via RSS

This site last compiled Sat, 28 Oct 2017 00:27:14 +0000
Github Account Copyright © PMLR 2017. All rights reserved.