| 2017 | DDCO: Discovery of Deep Continuous Options for Robot Learning from Demonstrations. | Sanjay Krishnan, Roy Fox, Ion Stoica, Ken Goldberg |
| 2017 | Hierarchical Reinforcement Learning with Parameters. | Maciej Klimek, Henryk Michalewski, Piotr Milos |
| 2017 | Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning. | Gabriel Kalweit, Joschka Boedecker |
| 2017 | End-to-End Learning of Semantic Grasping. | Eric Jang, Sudheendra Vijayanarasimhan, Peter Pastor, Julian Ibarz, Sergey Levine |
| 2017 | Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. | Stephen James, Andrew J. Davison, Edward Johns |
| 2017 | Principal Variety Analysis. | Reza Iraji, Hamidreza Chitsaz |
| 2017 | Efficient Automatic Perception System Parameter Tuning On Site without Expert Supervision. | Humphrey Hu, George Kantor |
| 2017 | Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation. | Wei Gao, David Hsu, Wee Sun Lee, Shengmei Shen, Karthikk Subramanian |
| 2017 | Harvesting Common-sense Navigational Knowledge for Robotics from Uncurated Text Corpora. | Nancy Fulda, Nathan Tibbetts, Zachary Brown, David Wingate |
| 2017 | Reverse Curriculum Generation for Reinforcement Learning. | Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel |
| 2017 | One-Shot Visual Imitation Learning via Meta-Learning. | Chelsea Finn, Tianhe Yu, Tianhao Zhang, Pieter Abbeel, Sergey Levine |
| 2017 | Learning Data-Efficient Rigid-Body Contact Models: Case Study of Planar Impact. | Nima Fazeli, Samuel Zapolsky, Evan M. Drumwright, Alberto Rodriguez |
| 2017 | Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks. | Zackory Erickson, Sonia Chernova, Charles C. Kemp |
| 2017 | Gradient-free Policy Architecture Search and Adaptation. | Sayna Ebrahimi, Anna Rohrbach, Trevor Darrell |
| 2017 | Self-Supervised Visual Planning with Temporal Skip Connections. | Frederik Ebert, Chelsea Finn, Alex X. Lee, Sergey Levine |
| 2017 | Aggressive Deep Driving: Combining Convolutional Neural Networks and Model Predictive Control. | Paul Drews, Grady Williams, Brian Goldfain, Evangelos A. Theodorou, James M. Rehg |
| 2017 | CARLA: An Open Urban Driving Simulator. | Alexey Dosovitskiy, Germn Ros, Felipe Codevilla, Antonio M. Lpez, Vladlen Koltun |
| 2017 | Optimizing Long-term Predictions for Model-based Policy Search. | Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe |
| 2017 | Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection. | Nikhil Das, Naman Gupta, Michael C. Yip |
| 2017 | Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction. | Joseph Campbell, Heni Ben Amor |
| 2017 | 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 |
| 2017 | The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. | Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas |
| 2017 | Learning Heuristic Search via Imitation. | Mohak Bhardwaj, Sanjiban Choudhury, Sebastian A. Scherer |
| 2017 | Learning Robot Objectives from Physical Human Interaction. | Andrea Bajcsy, Dylan P. Losey, Marcia K. O'Malley, Anca D. Dragan |
| 2017 | Deep Kernels for Optimizing Locomotion Controllers. | Rika Antonova, Akshara Rai, Christopher G. Atkeson |