Papers
959 papers found
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
brian ichter, Anthony Brohan, Yevgen Chebotar et al.
Domain Adaptation and Generalization: A Low-Complexity Approach
Joshua Niemeijer, Jörg Peter Schäfer
Don’t Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Rich Walke, Jonathan Heewon Yang, Albert Yu et al.
Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms
Nils Wilde, Javier Alonso-Mora
Efficient and Stable Off-policy Training via Behavior-aware Evolutionary Learning
Maiyue Chen, Guangyi He
Efficient Tactile Simulation with Differentiability for Robotic Manipulation
Jie Xu, Sangwoon Kim, Tao Chen et al.
Eliciting Compatible Demonstrations for Multi-Human Imitation Learning
Kanishk Gandhi, Siddharth Karamcheti, Madeline Liao et al.
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
Eli Bronstein, Sirish Srinivasan, Supratik Paul et al.
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
Mingyu Ding, Yan Xu, Zhenfang Chen et al.
Evo-NeRF: Evolving NeRF for Sequential Robot Grasping of Transparent Objects
Justin Kerr, Letian Fu, Huang Huang et al.
Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates
Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani et al.
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
Letian Chen, Sravan Jayanthi, Rohan R Paleja et al.
Few-Shot Preference Learning for Human-in-the-Loop RL
Donald Joseph Hejna III, Dorsa Sadigh
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision
Ryan Hoque, Lawrence Yunliang Chen, Satvik Sharma et al.
Frame Mining: a Free Lunch for Learning Robotic Manipulation from 3D Point Clouds
Minghua Liu, Xuanlin Li, Zhan Ling et al.
Fusing Priori and Posteriori Metrics for Automatic Dataset Annotation of Planar Grasping
Hao Sha, Lai Qianen, Hongxiang Yu et al.
Generalization with Lossy Affordances: Leveraging Broad Offline Data for Learning Visuomotor Tasks
Kuan Fang, Patrick Yin, Ashvin Nair et al.
Generative Category-Level Shape and Pose Estimation with Semantic Primitives
Guanglin Li, Yifeng Li, Zhichao Ye et al.
GenLoco: Generalized Locomotion Controllers for Quadrupedal Robots
Gilbert Feng, Hongbo Zhang, Zhongyu Li et al.
GLSO: Grammar-guided Latent Space Optimization for Sample-efficient Robot Design Automation
Jiaheng Hu, Julian Whitman, Howie Choset
Graph Inverse Reinforcement Learning from Diverse Videos
Sateesh Kumar, Jonathan Zamora, Nicklas Hansen et al.
Graph network simulators can learn discontinuous, rigid contact dynamics
Kelsey R Allen, Tatiana Lopez Guevara, Yulia Rubanova et al.
HERD: Continuous Human-to-Robot Evolution for Learning from Human Demonstration
Xingyu Liu, Deepak Pathak, Kris M. Kitani
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan et al.
HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving
Andrei Zanfir, Mihai Zanfir, Alex Gorban et al.