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Editors: Aude Billard, Anca Dragan, Jan Peters, Jun Morimoto
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Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed OhnBar, Kris Kitani, Chieko Asakawa; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:16-39
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Few-Shot Goal Inference for Visuomotor Learning and Planning
Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:40-52
Neural Modular Control for Embodied Question Answering
Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:53-62
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:63-80
Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents
Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:81-98
Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:99-112
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Including Uncertainty when Learning from Human Corrections
Dylan P. Losey, Marcia K. O’Malley; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:123-132
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Deep Drone Racing: Learning Agile Flight in Dynamic Environments
Elia Kaufmann, Antonio Loquercio, Rene Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:133-145
HDNET: Exploiting HD Maps for 3D Object Detection
Bin Yang, Ming Liang, Raquel Urtasun; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:146-155
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Motion Perception in Reinforcement Learning with Dynamic Objects
Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:156-168
Particle Filter Networks with Application to Visual Localization
Peter Karkus, David Hsu, Wee Sun Lee; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:169-178
Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation
John Martin, Jinkun Wang, Brendan Englot; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:179-189
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Fast 3D Modeling with Approximated Convolutional Kernels
Vitor Guizilini, Fabio Ramos; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:190-199
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Unpaired Learning of Dense Visual Depth Estimators for Urban Environments
Vitor Guizilini, Fabio Ramos; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:200-212
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Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments
Gregory J. Stein, Christopher Bradley, Nicholas Roy; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:213-222
Inferring geometric constraints in human demonstrations
Guru Subramani, Michael Zinn, Michael Gleicher; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:223-236
Conditional Affordance Learning for Driving in Urban Environments
Axel Sauer, Nikolay Savinov, Andreas Geiger; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:237-252
Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs
Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taixe; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:253-269
GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:270-282
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Feature Learning for Scene Flow Estimation from LIDAR
Arash K. Ushani, Ryan M. Eustice; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:283-292
PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments
Anirudha Majumdar, Maxwell Goldstein; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:293-305
Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:306-316
A Data-Efficient Approach to Precise and Controlled Pushing
Maria Bauza, Francois R. Hogan, Alberto Rodriguez; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:336-345
Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal
Jake Bruce, Niko Sunderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:346-361
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Risk-Aware Active Inverse Reinforcement Learning
Daniel S. Brown, Yuchen Cui, Scott Niekum; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:362-372
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Peter R. Florence, Lucas Manuelli, Russ Tedrake; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:373-385
Bayesian RL for Goal-Only Rewards
Philippe Morere, Fabio Ramos; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:386-398
Benchmarks for reinforcement learning in mixed-autonomy traffic
Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:399-409
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Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:410-421
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:422-431
Adaptable replanning with compressed linear action models for learning from demonstrations
Clement Gehring, Leslie Pack Kaelbling, Tomas Lozano-Perez; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:432-442
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments
Ransalu Senanayake, Anthony Tompkins, Fabio Ramos; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:443-455
Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization
Paul-Edouard Sarlin, Frederic Debraine, Marcin Dymczyk, Roland Siegwart, Cesar Cadena; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:456-465
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems
Spencer M. Richards, Felix Berkenkamp, Andreas Krause; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:466-476
Curiosity Driven Exploration of Learned Disentangled Goal Spaces
Adrien Laversanne-Finot, Alexandre Pere, Pierre-Yves Oudeyer; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:487-504
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
Valts Blukis, Dipendra Misra, Ross A. Knepper, Yoav Artzi; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:505-518
Learning Audio Feedback for Estimating Amount and Flow of Granular Material
Samuel Clarke, Travers Rhodes, Christopher G. Atkeson, Oliver Kroemer; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:529-550
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems
Yun Long, Xueyuan She, Saibal Mukhopadhyay; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:551-560
Benchmarking Reinforcement Learning Algorithms on Real-World Robots
A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:561-591
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:592-604
Learning to Localize Using a LiDAR Intensity Map
Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:605-616
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Model-Based Reinforcement Learning via Meta-Policy Optimization
Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:617-629
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Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets
Guilherme Maeda, Okan Koc, Jun Morimoto; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:630-640
Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation
Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:641-650
Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, Sergey Levine; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:651-673
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Reward Estimation for Variance Reduction in Deep Reinforcement Learning
Joshua Romoff, Peter Henderson, Alexandre Piche, Vincent Francois-Lavet, Joelle Pineau; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:674-699
Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment
Fabio Muratore, Felix Treede, Michael Gienger, Jan Peters; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:700-713
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Grounding Robot Plans from Natural Language Instructions with Incomplete World Knowledge
Daniel Nyga, Subhro Roy, Rohan Paul, Daehyung Park, Mihai Pomarlan, Michael Beetz, Nicholas Roy; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:714-723
Learning What Information to Give in Partially Observed Domains
Rohan Chitnis, Leslie Pack Kaelbling, Tomas Lozano-Perez; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:724-733
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Jan Matas, Stephen James, Andrew J. Davison; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:734-743
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics
Ajinkya Jain, Scott Niekum; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:757-766
SURREAL: Open-Source Reinforcement Learning Framework and Robot Manipulation Benchmark
Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, Li Fei-Fei; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:767-782
Task-Embedded Control Networks for Few-Shot Imitation Learning
Stephen James, Michael Bloesch, Andrew J. Davison; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:783-795
Learning under Misspecified Objective Spaces
Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:796-805
Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation
Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:806-816
Sim-to-Real Transfer with Neural-Augmented Robot Simulation
Florian Golemo, Adrien Ali Taiga, Aaron Courville, Pierre-Yves Oudeyer; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:817-828
Bayesian Generalized Kernel Inference for Terrain Traversability Mapping
Tixiao Shan, Jinkun Wang, Brendan Englot, Kevin Doherty; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:829-838
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:839-855
Dyadic collaborative Manipulation through Hybrid Trajectory Optimization
Theodoros Stouraitis, Iordanis Chatzinikolaidis, Michael Gienger, Sethu Vijayakumar; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:869-878
ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation
Ajay Mandlekar, Yuke Zhu, Animesh Garg, Jonathan Booher, Max Spero, Albert Tung, Julian Gao, John Emmons, Anchit Gupta, Emre Orbay, Silvio Savarese, Li Fei-Fei; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:879-893
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian Scherer; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:894-905
Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation
Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:906-915
Policies Modulating Trajectory Generators
Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:916-926
A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning
Nadia Figueroa, Aude Billard; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:927-946
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas, Wenjie Luo, Raquel Urtasun; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:947-956
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Interpretable Latent Spaces for Learning from Demonstration
Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:957-968
ESIM: an Open Event Camera Simulator
Henri Rebecq, Daniel Gehrig, Davide Scaramuzza; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:969-982
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Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning
Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn; Proceedings of The 2nd Conference on Robot Learning, PMLR 87:983-993
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