| 2018 | Interpretable Latent Spaces for Learning from Demonstration. | Yordan Hristov, Alex Lascarides, Subramanian Ramamoorthy |
| 2018 | Unpaired Learning of Dense Visual Depth Estimators for Urban Environments. | Vitor Guizilini, Fabio Ramos |
| 2018 | Fast 3D Modeling with Approximated Convolutional Kernels. | Vitor Guizilini, Fabio Ramos |
| 2018 | Learning 6-DoF Grasping and Pick-Place Using Attention Focus. | Marcus Gualtieri, Robert Platt Jr. |
| 2018 | Sim-to-Real Transfer with Neural-Augmented Robot Simulation. | Florian Golemo, Adrien Ali Taga, Aaron C. Courville, Pierre-Yves Oudeyer |
| 2018 | Adaptable replanning with compressed linear action models for learning from demonstrations. | Clement Gehring, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation. | Peter R. Florence, Lucas Manuelli, Russ Tedrake |
| 2018 | A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. | Nadia Figueroa, Aude Billard |
| 2018 | 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 |
| 2018 | Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning. | Frederik Ebert, Sudeep Dasari, Alex X. Lee, Sergey Levine, Chelsea Finn |
| 2018 | Neural Modular Control for Embodied Question Answering. | Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra |
| 2018 | Model-Based Reinforcement Learning via Meta-Policy Optimization. | Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel |
| 2018 | Learning Audio Feedback for Estimating Amount and Flow of Granular Material. | Samuel Clarke, Travers Rhodes, Christopher G. Atkeson, Oliver Kroemer |
| 2018 | Learning What Information to Give in Partially Observed Domains. | Rohan Chitnis, Leslie Pack Kaelbling, Toms Lozano-Prez |
| 2018 | Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions. | Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki |
| 2018 | IntentNet: Learning to Predict Intention from Raw Sensor Data. | Sergio Casas, Wenjie Luo, Raquel Urtasun |
| 2018 | Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal. | Jake Bruce, Niko Snderhauf, Piotr Mirowski, Raia Hadsell, Michael Milford |
| 2018 | Risk-Aware Active Inverse Reinforcement Learning. | Daniel S. Brown, Yuchen Cui, Scott Niekum |
| 2018 | Learning under Misspecified Objective Spaces. | Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan |
| 2018 | Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction. | Valts Blukis, Dipendra Kumar Misra, Ross A. Knepper, Yoav Artzi |
| 2018 | Batch Active Preference-Based Learning of Reward Functions. | Erdem Biyik, Dorsa Sadigh |
| 2018 | A Data-Efficient Approach to Precise and Controlled Pushing. | Maria Bauz, Francois Robert Hogan, Alberto Rodriguez |
| 2018 | Learning to Localize Using a LiDAR Intensity Map. | Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun |
| 2018 | Global Search with Bernoulli Alternation Kernel for Task-oriented Grasping Informed by Simulation. | Rika Antonova, Mia Kokic, Johannes A. Stork, Danica Kragic |
| 2018 | Motion Perception in Reinforcement Learning with Dynamic Objects. | Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox |