| 2018 | Personalized Dynamics Models for Adaptive Assistive Navigation Systems. | Eshed Ohn-Bar, Kris Kitani, Chieko Asakawa |
| 2018 | 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 |
| 2018 | Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment. | Fabio Muratore, Felix Treede, Michael Gienger, Jan Peters |
| 2018 | Driving Policy Transfer via Modularity and Abstraction. | Matthias Mller, Alexey Dosovitskiy, Bernard Ghanem, Vladlen Koltun |
| 2018 | Bayesian RL for Goal-Only Rewards. | Philippe Morere, Fabio Ramos |
| 2018 | Sim-to-Real Reinforcement Learning for Deformable Object Manipulation. | Jan Matas, Stephen James, Andrew J. Davison |
| 2018 | Sparse Gaussian Process Temporal Difference Learning for Marine Robot Navigation. | John D. Martin, Jinkun Wang, Brendan J. Englot |
| 2018 | 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 |
| 2018 | PAC-Bayes Control: Synthesizing Controllers that Provably Generalize to Novel Environments. | Anirudha Majumdar, Maxwell Goldstein |
| 2018 | Benchmarking Reinforcement Learning Algorithms on Real-World Robots. | A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra |
| 2018 | Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets. | Guilherme Maeda, Okan Koc, Jun Morimoto |
| 2018 | Including Uncertainty when Learning from Human Corrections. | Dylan P. Losey, Marcia K. O'Malley |
| 2018 | HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems. | Yun Long, Xueyuan She, Saibal Mukhopadhyay |
| 2018 | GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning. | Jacky Liang, Viktor Makoviychuk, Ankur Handa, Nuttapong Chentanez, Miles Macklin, Dieter Fox |
| 2018 | Curiosity Driven Exploration of Learned Disentangled Goal Spaces. | Adrien Laversanne-Finot, Alexandre Pr, Pierre-Yves Oudeyer |
| 2018 | Expanding Motor Skills using Relay Networks. | Visak C. V. Kumar, Sehoon Ha, C. Karen Liu |
| 2018 | Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards. | Rituraj Kaushik, Konstantinos I. Chatzilygeroudis, Jean-Baptiste Mouret |
| 2018 | Deep Drone Racing: Learning Agile Flight in Dynamic Environments. | Elia Kaufmann, Antonio Loquercio, Ren Ranftl, Alexey Dosovitskiy, Vladlen Koltun, Davide Scaramuzza |
| 2018 | Particle Filter Networks with Application to Visual Localization. | Pter Karkus, David Hsu, Wee Sun Lee |
| 2018 | 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 |
| 2018 | Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation. | Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine |
| 2018 | Grasp2Vec: Learning Object Representations from Self-Supervised Grasping. | Eric Jang, Coline Devin, Vincent Vanhoucke, Sergey Levine |
| 2018 | Task-Embedded Control Networks for Few-Shot Imitation Learning. | Stephen James, Michael Bloesch, Andrew J. Davison |
| 2018 | Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics. | Ajinkya Jain, Scott Niekum |
| 2018 | Policies Modulating Trajectory Generators. | Atil Iscen, Ken Caluwaerts, Jie Tan, Tingnan Zhang, Erwin Coumans, Vikas Sindhwani, Vincent Vanhoucke |