| 2019 | Learning by Cheating. | Dian Chen, Brady Zhou, Vladlen Koltun, Philipp Krhenbhl |
| 2018 | Energy-Based Hindsight Experience Prioritization. | Rui Zhao, Volker Tresp |
| 2018 | 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 A. Scherer |
| 2018 | Guided Feature Transformation (GFT): A Neural Language Grounding Module for Embodied Agents. | Haonan Yu, Xiaochen Lian, Haichao Zhang, Wei Xu |
| 2018 | HDNET: Exploiting HD Maps for 3D Object Detection. | Bin Yang, Ming Liang, Raquel Urtasun |
| 2018 | Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. | Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, Devi Parikh |
| 2018 | Few-Shot Goal Inference for Visuomotor Learning and Planning. | Annie Xie, Avi Singh, Sergey Levine, Chelsea Finn |
| 2018 | Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs. | Patrick Wenzel, Qadeer Khan, Daniel Cremers, Laura Leal-Taix |
| 2018 | 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 |
| 2018 | 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 |
| 2018 | Feature Learning for Scene Flow Estimation from LIDAR. | Arash K. Ushani, Ryan M. Eustice |
| 2018 | Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects. | Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, Stan Birchfield |
| 2018 | Inferring geometric constraints in human demonstrations. | Guru Subramani, Michael R. Zinn, Michael Gleicher |
| 2018 | Dyadic collaborative Manipulation through Hybrid Trajectory Optimization. | Theodoros Stouraitis, Iordanis Chatzinikolaidis, Michael Gienger, Sethu Vijayakumar |
| 2018 | Learning over Subgoals for Efficient Navigation of Structured, Unknown Environments. | Gregory J. Stein, Christopher Bradley, Nicholas Roy |
| 2018 | Multiple Interactions Made Easy (MIME): Large Scale Demonstrations Data for Imitation. | Pratyusha Sharma, Lekha Mohan, Lerrel Pinto, Abhinav Gupta |
| 2018 | Bayesian Generalized Kernel Inference for Terrain Traversability Mapping. | Tixiao Shan, Jinkun Wang, Brendan J. Englot, Kevin J. Doherty |
| 2018 | Learning Neural Parsers with Deterministic Differentiable Imitation Learning. | Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling, Kris M. Kitani |
| 2018 | Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments. | Ransalu Senanayake, Anthony Tompkins, Fabio Ramos |
| 2018 | SPNets: Differentiable Fluid Dynamics for Deep Neural Networks. | Connor Schenck, Dieter Fox |
| 2018 | Conditional Affordance Learning for Driving in Urban Environments. | Axel Sauer, Nikolay Savinov, Andreas Geiger |
| 2018 | Leveraging Deep Visual Descriptors for Hierarchical Efficient Localization. | Paul-Edouard Sarlin, Frdric Debraine, Marcin Dymczyk, Roland Siegwart |
| 2018 | Reward Estimation for Variance Reduction in Deep Reinforcement Learning. | Joshua Romoff, Peter Henderson, Alexandre Pich, Vincent Franois-Lavet, Joelle Pineau |
| 2018 | The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems. | Spencer M. Richards, Felix Berkenkamp, Andreas Krause |
| 2018 | ESIM: an Open Event Camera Simulator. | Henri Rebecq, Daniel Gehrig, Davide Scaramuzza |