| 2021 | BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments. | Sanjana Srivastava, Chengshu Li, Michael Lingelbach, Roberto Martn-Martn, Fei Xia, Kent Elliott Vainio, Zheng Lian, Cem Gokmen, Shyamal Buch, C. Karen Liu, Silvio Savarese, Hyowon Gweon, Jiajun Wu, Li Fei-Fei |
| 2021 | Learning to Predict Vehicle Trajectories with Model-based Planning. | Haoran Song, Di Luan, Wenchao Ding, Michael Yu Wang, Qifeng Chen |
| 2021 | LEO: Learning Energy-based Models in Factor Graph Optimization. | Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam, Stuart Anderson, Michael Kaess |
| 2021 | Enhancing Consistent Ground Maneuverability by Robot Adaptation to Complex Off-Road Terrains. | Sriram Siva, Maggie B. Wigness, John G. Rogers, Hao Zhang |
| 2021 | S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics. | Samarth Sinha, Ajay Mandlekar, Animesh Garg |
| 2021 | Learning Off-Policy with Online Planning. | Harshit Sikchi, Wenxuan Zhou, David Held |
| 2021 | CLIPort: What and Where Pathways for Robotic Manipulation. | Mohit Shridhar, Lucas Manuelli, Dieter Fox |
| 2021 | GRAC: Self-Guided and Self-Regularized Actor-Critic. | Lin Shao, Yifan You, Mengyuan Yan, Shenli Yuan, Qingyun Sun, Jeannette Bohg |
| 2021 | Rapid Exploration for Open-World Navigation with Latent Goal Models. | Dhruv Shah, Benjamin Eysenbach, Nicholas Rhinehart, Sergey Levine |
| 2021 | Semantic Terrain Classification for Off-Road Autonomous Driving. | Amirreza Shaban, Xiangyun Meng, Joonho Lee, Byron Boots, Dieter Fox |
| 2021 | Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles. | Tim Seyde, Wilko Schwarting, Sertac Karaman, Daniela Rus |
| 2021 | Strength Through Diversity: Robust Behavior Learning via Mixture Policies. | Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus |
| 2021 | Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. | Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun |
| 2021 | Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients. | Oliver Scheel, Luca Bergamini, Maciej Wolczyk, Blazej Osinski, Peter Ondruska |
| 2021 | CLASP: Constrained Latent Shape Projection for Refining Object Shape from Robot Contact. | Brad Saund, Dmitry Berenson |
| 2021 | Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning. | Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter |
| 2021 | Orientation Probabilistic Movement Primitives on Riemannian Manifolds. | Leonel Rozo, Vedant Dave |
| 2021 | LanguageRefer: Spatial-Language Model for 3D Visual Grounding. | Junha Roh, Karthik Desingh, Ali Farhadi, Dieter Fox |
| 2021 | Collect & Infer - a fresh look at data-efficient Reinforcement Learning. | Martin A. Riedmiller, Jost Tobias Springenberg, Roland Hafner, Nicolas Heess |
| 2021 | Learning Behaviors through Physics-driven Latent Imagination. | Antoine Richard, Stphanie Aravecchia, Matthieu Geist, Cdric Pradalier |
| 2021 | Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors. | Lucas Rath, Andreas Ren Geist, Sebastian Trimpe |
| 2021 | Haptics-based Curiosity for Sparse-reward Tasks. | Sai Rajeswar, Cyril Ibrahim, Nitin Surya, Florian Golemo, David Vzquez, Aaron C. Courville, Pedro O. Pinheiro |
| 2021 | Smooth Exploration for Robotic Reinforcement Learning. | Antonin Raffin, Jens Kober, Freek Stulp |
| 2021 | Generating Scenarios with Diverse Pedestrian Behaviors for Autonomous Vehicle Testing. | Maria Priisalu, Aleksis Pirinen, Ciprian Paduraru, Cristian Sminchisescu |
| 2021 | Demonstration-Guided Reinforcement Learning with Learned Skills. | Karl Pertsch, Youngwoon Lee, Yue Wu, Joseph J. Lim |