| 2019 | AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers. | Andrey Kurenkov, Ajay Mandlekar, Roberto Martin Martin, Silvio Savarese, Animesh Garg |
| 2019 | Learning Navigation Subroutines from Egocentric Videos. | Ashish Kumar, Saurabh Gupta, Jitendra Malik |
| 2019 | Multi-Agent Reinforcement Learning with Multi-Step Generative Models. | Orr Krupnik, Igor Mordatch, Aviv Tamar |
| 2019 | A correct formulation for the Orientation Dynamic Movement Primitives for robot control in the Cartesian space. | Leonidas Koutras, Zoe Doulgeri |
| 2019 | Self-Paced Contextual Reinforcement Learning. | Pascal Klink, Hany Abdulsamad, Boris Belousov, Jan Peters |
| 2019 | Learning value functions with relational state representations for guiding task-and-motion planning. | Beomjoon Kim, Luke Shimanuki |
| 2019 | Graph Policy Gradients for Large Scale Robot Control. | Arbaaz Khan, Ekaterina I. Tolstaya, Alejandro Ribeiro, Vijay Kumar |
| 2019 | Multi-Frame GAN: Image Enhancement for Stereo Visual Odometry in Low Light. | Eunah Jung, Nan Yang, Daniel Cremers |
| 2019 | Quasi-Newton Trust Region Policy Optimization. | Devesh K. Jha, Arvind U. Raghunathan, Diego Romeres |
| 2019 | Bayesian Optimization Meets Riemannian Manifolds in Robot Learning. | Nomie Jaquier, Leonel Dario Rozo, Sylvain Calinon, Mathias Brger |
| 2019 | Learning from demonstration with model-based Gaussian process. | Nomie Jaquier, David Ginsbourger, Sylvain Calinon |
| 2019 | Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. | Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun |
| 2019 | Nonverbal Robot Feedback for Human Teachers. | Sandy H. Huang, Isabella Huang, Ravi Pandya, Anca D. Dragan |
| 2019 | Disentangled Relational Representations for Explaining and Learning from Demonstration. | Yordan Hristov, Daniel Angelov, Michael Burke, Alex Lascarides, Subramanian Ramamoorthy |
| 2019 | Adversarial Active Exploration for Inverse Dynamics Model Learning. | Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann, Chun-Yi Lee |
| 2019 | Deep Value Model Predictive Control. | David Hoeller, Farbod Farshidian, Marco Hutter |
| 2019 | A Learnable Safety Measure. | Steve Heim, Alexander von Rohr, Sebastian Trimpe, Alexander Badri-Sprwitz |
| 2019 | MAME : Model-Agnostic Meta-Exploration. | Swaminathan Gurumurthy, Sumit Kumar, Katia P. Sycara |
| 2019 | Predictive Safety Network for Resource-constrained Multi-agent Systems. | Meng Guo, Mathias Brger |
| 2019 | Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. | Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon |
| 2019 | A Divergence Minimization Perspective on Imitation Learning Methods. | Seyed Kamyar Seyed Ghasemipour, Richard S. Zemel, Shixiang Gu |
| 2019 | Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation. | Kuan Fang, Yuke Zhu, Animesh Garg, Silvio Savarese, Li Fei-Fei |
| 2019 | Variational Optimization Based Reinforcement Learning for Infinite Dimensional Stochastic Systems. | Ethan N. Evans, Marcus A. Pereira, George I. Boutselis, Evangelos A. Theodorou |
| 2019 | Model-Based Planning with Energy-Based Models. | Yilun Du, Toru Lin, Igor Mordatch |
| 2019 | PyRoboLearn: A Python Framework for Robot Learning Practitioners. | Brian Delhaisse, Leonel Dario Rozo, Darwin G. Caldwell |