Abstract is missing.
- CARLA: An Open Urban Driving SimulatorAlexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio López, Vladlen Koltun. 1-16 [doi]
- CORe50: a New Dataset and Benchmark for Continuous Object RecognitionVincenzo Lomonaco, Davide Maltoni. 17-26 [doi]
- Fast Residual Forests: Rapid Ensemble Learning for Semantic SegmentationYan Zuo, Tom Drummond. 27-36 [doi]
- Active Incremental Learning of Robot Movement PrimitivesGuilherme Maeda, Marco Ewerton, Takayuki Osa, Baptiste Busch, Jan Peters 0001. 37-46 [doi]
- Deep Kernels for Optimizing Locomotion ControllersRika Antonova, Akshara Rai, Christopher G. Atkeson. 47-56 [doi]
- Efficient Automatic Perception System Parameter Tuning On Site without Expert SupervisionHumphrey Hu, George Kantor. 57-66 [doi]
- Opportunistic Active Learning for Grounding Natural Language DescriptionsJesse Thomason, Aishwarya Padmakumar, Jivko Sinapov, Justin Hart, Peter Stone, Raymond J. Mooney. 67-76 [doi]
- Adaptable Pouring: Teaching Robots Not to Spill using Fast but Approximate Fluid SimulationTatiana Lopez-Guevara, Nicholas K. Taylor, Michael U. Gutmann, Subramanian Ramamoorthy, Kartic Subr. 77-86 [doi]
- Improved Adversarial Systems for 3D Object Generation and ReconstructionEdward J. Smith, David Meger. 87-96 [doi]
- Principal Variety AnalysisReza Iraji, Hamidreza Chitsaz. 97-108 [doi]
- Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion PlanningMuhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots. 109-118 [doi]
- End-to-End Learning of Semantic GraspingEric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine. 119-132 [doi]
- Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive ControlPaul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg. 133-142 [doi]
- DART: Noise Injection for Robust Imitation LearningMichael Laskey, Jonathan Lee, Roy Fox, Anca D. Dragan, Ken Goldberg. 143-156 [doi]
- Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial NetworksZackory M. Erickson, Sonia Chernova, Charles C. Kemp. 157-166 [doi]
- Online Learning with Stochastic Recurrent Neural Networks using Intrinsic Motivation SignalsDaniel Tanneberg, Jan Peters 0001, Elmar A. Rückert. 167-174 [doi]
- Learning Stable Task Sequences from Demonstration with Linear Parameter Varying Systems and Hidden Markov ModelsJose R. Medina, Aude Billard. 175-184 [doi]
- Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous NavigationWei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian. 185-194 [doi]
- Uncertainty-driven Imagination for Continuous Deep Reinforcement LearningGabriel Kalweit, Joschka Boedecker. 195-206 [doi]
- The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks SimultaneouslySerkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang 0001, Nando de Freitas. 207-216 [doi]
- Learning Robot Objectives from Physical Human InteractionAndrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan. 217-226 [doi]
- Optimizing Long-term Predictions for Model-based Policy SearchAndreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe. 227-238 [doi]
- Learning Robotic Manipulation of Granular MediaConnor Schenck, Jonathan Tompson, Sergey Levine, Dieter Fox. 239-248 [doi]
- Learning End-to-end Multimodal Sensor Policies for Autonomous NavigationGuan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela M. Veloso, George Kantor. 249-261 [doi]
- Sim-to-Real Robot Learning from Pixels with Progressive NetsAndrei A. Rusu, Matej Vecerik, Thomas Rothörl, Nicolas Heess, Razvan Pascanu, Raia Hadsell. 262-270 [doi]
- Learning Heuristic Search via ImitationMohak Bhardwaj, Sanjiban Choudhury, Sebastian Scherer. 271-280 [doi]
- Mutual Alignment Transfer LearningMarkus Wulfmeier, Ingmar Posner, Pieter Abbeel. 281-290 [doi]
- Learning a visuomotor controller for real world robotic grasping using simulated depth imagesUlrich Viereck, Andreas ten Pas, Kate Saenko, Robert Platt. 291-300 [doi]
- Hierarchical Reinforcement Learning with ParametersMaciej Klimek, Henryk Michalewski, Piotr Mi\los. 301-313 [doi]
- 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. 314-323 [doi]
- image2mass: Estimating the Mass of an Object from Its ImageTrevor Standley, Ozan Sener, Dawn Chen, Silvio Savarese. 324-333 [doi]
- Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage TaskStephen James, Andrew J. Davison, Edward Johns. 334-343 [doi]
- Self-Supervised Visual Planning with Temporal Skip ConnectionsFrederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine. 344-356 [doi]
- One-Shot Visual Imitation Learning via Meta-LearningChelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine. 357-368 [doi]
- Learning Partially Contracting Dynamical Systems from DemonstrationsHarish Chaandar Ravichandar, Iman Salehi, Ashwin P. Dani. 369-378 [doi]
- Bayesian Interaction Primitives: A SLAM Approach to Human-Robot InteractionJoseph Campbell, Heni Ben Amor. 379-387 [doi]
- Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar ImpactNima Fazeli, Samuel Zapolsky, Evan Drumwright, Alberto Rodriguez. 388-397 [doi]
- Emergent Behaviors in Mixed-Autonomy TrafficCathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen. 398-407 [doi]
- How Robots Learn to Classify New Objects Trained from Small Data SetsTick Son Wang, Zoltan Csaba Marton, Manuel Brucker, Rudolph Triebel. 408-417 [doi]
- DDCO: Discovery of Deep Continuous Options for Robot Learning from DemonstrationsSanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg. 418-437 [doi]
- Extending Model-based Policy Gradients for Robots in Heteroscedastic EnvironmentsJohn Martin, Brendan Englot. 438-447 [doi]
- Learning Human Utility from Video Demonstrations for Deductive Planning in RoboticsNishant Shukla, Yunzhong He, Frank Chen, Song Chun Zhu. 448-457 [doi]
- Bayesian Hilbert Maps for Dynamic Continuous Occupancy MappingRansalu Senanayake, Fabio Ramos. 458-471 [doi]
- Learning Dynamics Across Similar Spatiotemporally-Evolving Physical SystemsJoshua Whitman, Girish Chowdhary. 472-481 [doi]
- Reverse Curriculum Generation for Reinforcement LearningCarlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel. 482-495 [doi]
- Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision DetectionNikhil Das, Naman Gupta, Michael Yip. 496-504 [doi]
- Gradient-free Policy Architecture Search and AdaptationSayna Ebrahimi, Anna Rohrbach, Trevor Darrell. 505-514 [doi]
- Learning Deep Policies for Robot Bin Picking by Simulating Robust Grasping SequencesJeffrey Mahler, Ken Goldberg. 515-524 [doi]
- Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text CorporaNancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate. 525-534 [doi]