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Editors: Sergey Levine, Vincent Vanhoucke, Ken Goldberg
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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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