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Proceedings of Machine Learning Research

Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research Proceedings of Machine Learning Research
Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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

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Editors: Sergey Levine, Vincent Vanhoucke, Ken Goldberg

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Filter Authors: Filter Titles:

CARLA: An Open Urban Driving Simulator

; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:1-16

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CORe50: a New Dataset and Benchmark for Continuous Object Recognition

Vincenzo Lomonaco, Davide Maltoni; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:17-26

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Fast Residual Forests: Rapid Ensemble Learning for Semantic Segmentation

Yan Zuo, Tom Drummond; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:27-36

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Active Incremental Learning of Robot Movement Primitives

Guilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:37-46

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Deep Kernels for Optimizing Locomotion Controllers

Rika Antonova, Akshara Rai, Christopher G. Atkeson; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:47-56

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Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision

Humphrey Hu, George Kantor; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:57-66

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Opportunistic Active Learning for Grounding Natural Language Descriptions

Jesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin Hart, Peter Stone, Raymond J. Mooney; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:67-76

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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; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:77-86

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Improved Adversarial Systems for 3D Object Generation and Reconstruction

Edward J. Smith, David Meger; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:87-96

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Principal Variety Analysis

Reza Iraji, Hamidreza Chitsaz; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:97-108

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

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:109-118

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End-to-End Learning of Semantic Grasping

Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:119-132

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

Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:133-142

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DART: Noise Injection for Robust Imitation Learning

Michael Laskey, Jonathan Lee, Roy Fox, Anca Dragan, Ken Goldberg; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:143-156

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

Zackory Erickson, Sonia Chernova, Charles C. Kemp; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:157-166

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Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation Signals

Daniel Tanneberg, Jan Peters, Elmar Rueckert; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:167-174

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

Jose R. Medina, Aude Billard; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:175-184

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

Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:185-194

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Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning

Gabriel Kalweit, Joschka Boedecker; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:195-206

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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; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:207-216

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Learning Robot Objectives from Physical Human Interaction

Andrea Bajcsy, Dylan P. Losey, Marcia K. O’Malley, Anca D. Dragan; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:217-226

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Optimizing Long-term Predictions for Model-based Policy Search

Andreas Doerr, CHristian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Toussaint Marc, Sebastian Trimpe; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:227-238

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Learning Robotic Manipulation of Granular Media

Connor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:239-248

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

Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela Veloso, George Kantor; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:249-261

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

Andrei A. Rusu, Matej Večerík, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:262-270

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Learning Heuristic Search via Imitation

Mohak Bhardwaj, Sanjiban Choudhury, Sebastian Scherer; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:271-280

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Mutual Alignment Transfer Learning

Markus Wulfmeier, Ingmar Posner, Pieter Abbeel; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:281-290

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

Ulrich Viereck, Andreas Pas, Kate Saenko, Robert Platt; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:291-300

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Hierarchical Reinforcement Learning with Parameters

Maciej Klimek, Henryk Michalewski, Piotr Mi\loś; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:301-313

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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; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:314-323

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image2mass: Estimating the Mass of an Object from Its Image

Trevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:324-333

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

Stephen James, Andrew J. Davison, Edward Johns; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:334-343

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Self-Supervised Visual Planning with Temporal Skip Connections

Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:344-356

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One-Shot Visual Imitation Learning via Meta-Learning

Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:357-368

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Learning Partially Contracting Dynamical Systems from Demonstrations

Harish Ravichandar, Iman Salehi, Ashwin Dani; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:369-378

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

Joseph Campbell, Heni Ben Amor; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:379-387

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

Nima Fazeli, Samuel Zapolsky, Evan Drumwright, Alberto Rodriguez; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:388-397

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Emergent Behaviors in Mixed-Autonomy Traffic

Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:398-407

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

Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker, Rudolph Triebel; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:408-417

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

Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:418-437

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Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments

John Martin, Brendan Englot; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:438-447

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Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics

Nishant Shukla, Yunzhong He, Frank Chen, Song-Chun Zhu; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:448-457

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Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping

Ransalu Senanayake, Fabio Ramos; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:458-471

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Learning Dynamics Across Similar Spatiotemporally-Evolving Physical Systems

Joshua Whitman, Girish Chowdhary; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:472-481

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Reverse Curriculum Generation for Reinforcement Learning

Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:482-495

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

Nikhil Das, Naman Gupta, Michael Yip; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:496-504

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Gradient-free Policy Architecture Search and Adaptation

Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:505-514

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

Jeffrey Mahler, Ken Goldberg; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:515-524

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

Nancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate; Proceedings of the 1st Annual Conference on Robot Learning, PMLR 78:525-534

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