| 2020 | Chaining Behaviors from Data with Model-Free Reinforcement Learning. | Avi Singh, Albert Yu, Jonathan Yang, Jesse Zhang, Aviral Kumar, Sergey Levine |
| 2020 | A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects. | Anthony Simeonov, Yilun Du, Beomjoon Kim, Francois Robert Hogan, Joshua B. Tenenbaum, Pulkit Agrawal, Alberto Rodriguez |
| 2020 | Learning to Compose Hierarchical Object-Centric Controllers for Robotic Manipulation. | Mohit Sharma, Jacky Liang, Jialiang Zhao, Alex LaGrassa, Oliver Kroemer |
| 2020 | Relational Learning for Skill Preconditions. | Mohit Sharma, Oliver Kroemer |
| 2020 | Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. | Vaisakh Shaj, Philipp Becker, Dieter Bchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann |
| 2020 | LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. | Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun |
| 2020 | Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. | Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun |
| 2020 | Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space. | Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus |
| 2020 | Reinforcement Learning with Videos: Combining Offline Observations with Interaction. | Karl Schmeckpeper, Oleh Rybkin, Kostas Daniilidis, Sergey Levine, Chelsea Finn |
| 2020 | Incremental learning of EMG-based control commands using Gaussian Processes. | Felix Schiel, Annette Hagengruber, Jrn Vogel, Rudolph Triebel |
| 2020 | Diverse Plausible Shape Completions from Ambiguous Depth Images. | Bradley Saund, Dmitry Berenson |
| 2020 | Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays. | Sandeep Singh Sandha, Luis Garcia, Bharathan Balaji, Fatima M. Anwar, Mani B. Srivastava |
| 2020 | Attention-Privileged Reinforcement Learning. | Sasha Salter, Dushyant Rao, Markus Wulfmeier, Raia Hadsell, Ingmar Posner |
| 2020 | Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections. | Junha Roh, Christoforos I. Mavrogiannis, Rishabh Madan, Dieter Fox, Siddhartha S. Srinivasa |
| 2020 | Generalization Guarantees for Imitation Learning. | Allen Z. Ren, Sushant Veer, Anirudha Majumdar |
| 2020 | Assisted Perception: Optimizing Observations to Communicate State. | Siddharth Reddy, Sergey Levine, Anca D. Dragan |
| 2020 | IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping. | Sadegh Rabiee, Joydeep Biswas |
| 2020 | Learning from Demonstrations using Signal Temporal Logic. | Aniruddh Gopinath Puranic, Jyotirmoy Deshmukh, Stefanos Nikolaidis |
| 2020 | High Acceleration Reinforcement Learning for Real-World Juggling with Binary Rewards. | Kai Ploeger, Michael Lutter, Jan Peters |
| 2020 | Modeling Long-horizon Tasks as Sequential Interaction Landscapes. | Sren Pirk, Karol Hausman, Alexander Toshev, Mohi Khansari |
| 2020 | Sample-efficient Cross-Entropy Method for Real-time Planning. | Cristina Pinneri, Shambhuraj Sawant, Sebastian Blaes, Jan Achterhold, Joerg Stueckler, Michal Rolnek, Georg Martius |
| 2020 | Generative adversarial training of product of policies for robust and adaptive movement primitives. | Emmanuel Pignat, Hakan Girgin, Sylvain Calinon |
| 2020 | ContactNets: Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations. | Samuel Pfrommer, Mathew Halm, Michael Posa |
| 2020 | Learning Object Manipulation Skills via Approximate State Estimation from Real Videos. | Vladimr Petrk, Makarand Tapaswi, Ivan Laptev, Josef Sivic |
| 2020 | Accelerating Reinforcement Learning with Learned Skill Priors. | Karl Pertsch, Youngwoon Lee, Joseph J. Lim |