Papers
959 papers found
Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion
Michael Bloesch, Jan Humplik, Viorica Patraucean et al.
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Jongseok Lee, Jianxiang Feng, Matthias Humt et al.
Understanding the World Through Action
Sergey Levine
Urban Driver: Learning to Drive from Real-world Demonstrations Using Policy Gradients
Oliver Scheel, Luca Bergamini, Maciej Wolczyk et al.
Using Physics Knowledge for Learning Rigid-body Forward Dynamics with Gaussian Process Force Priors
Lucas Rath, Andreas René Geist, Sebastian Trimpe
Visual Learning Towards Soft Robot Force Control using a 3D Metamaterial with Differential Stiffness
Fang Wan, Xiaobo Liu, Ning Guo et al.
Visual-Locomotion: Learning to Walk on Complex Terrains with Vision
Wenhao Yu, Deepali Jain, Alejandro Escontrela et al.
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views
Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang et al.
V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects
Xingyu Liu, Kris M. Kitani
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
Ajay Mandlekar, Danfei Xu, Josiah Wong et al.
XIRL: Cross-embodiment Inverse Reinforcement Learning
Kevin Zakka, Andy Zeng, Pete Florence et al.
You Only Evaluate Once: a Simple Baseline Algorithm for Offline RL
Wonjoon Goo, Scott Niekum
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai et al.
Accelerating Reinforcement Learning with Learned Skill Priors
Karl Pertsch, Youngwoon Lee, Joseph Lim
ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing
Mete Akbulut, Erhan Oztop, Muhammet Yunus Seker et al.
Action-based Representation Learning for Autonomous Driving
Yi Xiao, Felipe Codevilla, Christopher Pal et al.
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Vaisakh Shaj, Philipp Becker, Dieter Büchler et al.
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
Anthony Simeonov, Yilun Du, Beomjoon Kim et al.
Amodal 3D Reconstruction for Robotic Manipulation via Stability and Connectivity
William Agnew, Christopher Xie, Aaron Walsman et al.
Assisted Perception: Optimizing Observations to Communicate State
Siddharth Reddy, Sergey Levine, Anca Dragan
Asynchronous Deep Model Reference Adaptive Control
Girish Joshi, Jasvir Virdi, Girish Chowdhary
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Feng Gao, Jincheng Yu, Hao Shen et al.
Attention-Privileged Reinforcement Learning
Sasha Salter, Dushyant Rao, Markus Wulfmeier et al.
Augmenting GAIL with BC for sample efficient imitation learning
Rohit Jena, Changliu Liu, Katia Sycara
A User’s Guide to Calibrating Robotic Simulators
Bhairav Mehta, Ankur Handa, Dieter Fox et al.