| 2019 | Variational Inference MPC for Bayesian Model-based Reinforcement Learning. | Masashi Okada, Tadahiro Taniguchi |
| 2019 | Task-Conditioned Variational Autoencoders for Learning Movement Primitives. | Michael Noseworthy, Rohan Paul, Subhro Roy, Daehyung Park, Nicholas Roy |
| 2019 | Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. | Michael Neunert, Abbas Abdolmaleki, Markus Wulfmeier, Thomas Lampe, Jost Tobias Springenberg, Roland Hafner, Francesco Romano, Jonas Buchli, Nicolas Heess, Martin A. Riedmiller |
| 2019 | Contextual Imagined Goals for Self-Supervised Robotic Learning. | Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine |
| 2019 | Deep Dynamics Models for Learning Dexterous Manipulation. | Anusha Nagabandi, Kurt Konolige, Sergey Levine, Vikash Kumar |
| 2019 | Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real. | Ofir Nachum, Michael Ahn, Hugo Ponte, Shixiang Shane Gu, Vikash Kumar |
| 2019 | Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. | Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff |
| 2019 | Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects. | Chaitanya Mitash, Bowen Wen, Kostas E. Bekris, Abdeslam Boularias |
| 2019 | Active Domain Randomization. | Bhairav Mehta, Manfred Diaz, Florian Golemo, Christopher J. Pal, Liam Paull |
| 2019 | Leveraging exploration in off-policy algorithms via normalizing flows. | Bogdan Mazoure, Thang Doan, Audrey Durand, Joelle Pineau, R. Devon Hjelm |
| 2019 | Multimodal Attention Branch Network for Perspective-Free Sentence Generation. | Aly Magassouba, Komei Sugiura, Hisashi Kawai |
| 2019 | A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots. | Nicolai A. Lynnerup, Laura Nolling, Rasmus Hasle, John Hallam |
| 2019 | Learning Latent Plans from Play. | Corey Lynch, Mohi Khansari, Ted Xiao, Vikash Kumar, Jonathan Tompson, Sergey Levine, Pierre Sermanet |
| 2019 | HJB Optimal Feedback Control with Deep Differential Value Functions and Action Constraints. | Michael Lutter, Boris Belousov, Kim Listmann, Debora Clever, Jan Peters |
| 2019 | Certified Adversarial Robustness for Deep Reinforcement Learning. | Bjrn Ltjens, Michael Everett, Jonathan P. How |
| 2019 | Dynamic Experience Replay. | Jieliang Luo, Hui Li |
| 2019 | Data-efficient Co-Adaptation of Morphology and Behaviour with Deep Reinforcement Learning. | Kevin Sebastian Luck, Heni Ben Amor, Roberto Calandra |
| 2019 | Learning from My Partner's Actions: Roles in Decentralized Robot Teams. | Dylan P. Losey, Mengxi Li, Jeannette Bohg, Dorsa Sadigh |
| 2019 | HRL4IN: Hierarchical Reinforcement Learning for Interactive Navigation with Mobile Manipulators. | Chengshu Li, Fei Xia, Roberto Martn-Martn, Silvio Savarese |
| 2019 | PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning. | Iou-Jen Liu, Raymond A. Yeh, Alexander G. Schwing |
| 2019 | Connectivity Guaranteed Multi-robot Navigation via Deep Reinforcement Learning. | Juntong Lin, Xuyun Yang, Peiwei Zheng, Hui Cheng |
| 2019 | Experience-Embedded Visual Foresight. | Yen-Chen Lin, Maria Bauz, Phillip Isola |
| 2019 | Mutual-Information Regularization in Markov Decision Processes and Actor-Critic Learning. | Felix Leibfried, Jordi Grau-Moya |
| 2019 | To Follow or not to Follow: Selective Imitation Learning from Observations. | Youngwoon Lee, Edward S. Hu, Zhengyu Yang, Joseph J. Lim |
| 2019 | Perceptual Attention-based Predictive Control. | Keuntaek Lee, Gabriel Nakajima An, Viacheslav Zakharov, Evangelos A. Theodorou |