Papers
959 papers found
Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning
Danny Driess, Jung-Su Ha, Marc Toussaint et al.
Learning Multimodal Rewards from Rankings
Vivek Myers, Erdem Biyik, Nima Anari et al.
Learning Multi-Stage Tasks with One Demonstration via Self-Replay
Norman Di Palo, Edward Johns
Learning Off-Policy with Online Planning
Harshit Sikchi, Wenxuan Zhou, David Held
Learning Reward Functions from Scale Feedback
Nils Wilde, Erdem Biyik, Dorsa Sadigh et al.
Learning to be Multimodal : Co-evolving Sensory Modalities and Sensor Properties
Rika Antonova, Jeannette Bohg
Learning to Jump from Pixels
Gabriel B Margolis, Tao Chen, Kartik Paigwar et al.
Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles
Tim Seyde, Wilko Schwarting, Sertac Karaman et al.
Learning to Predict Vehicle Trajectories with Model-based Planning
Haoran Song, Di Luan, Wenchao Ding et al.
Learning to Regrasp by Learning to Place
Shuo Cheng, Kaichun Mo, Lin Shao
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin, David Hoeller, Philipp Reist et al.
Learning Visible Connectivity Dynamics for Cloth Smoothing
Xingyu Lin, Yufei Wang, Zixuan Huang et al.
Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events
Tzu-Yuan Lin, Ray Zhang, Justin Yu et al.
LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou et al.
LEO: Learning Energy-based Models in Factor Graph Optimization
Paloma Sodhi, Eric Dexheimer, Mustafa Mukadam et al.
LILA: Language-Informed Latent Actions
Siddharth Karamcheti, Megha Srivastava, Percy Liang et al.
Look Before You Leap: Safe Model-Based Reinforcement Learning with Human Intervention
Yunkun Xu, Zhenyu Liu, Guifang Duan et al.
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks
Albert Wilcox, Ashwin Balakrishna, Brijen Thananjeyan et al.
Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots
Zipeng Fu, Ashish Kumar, Jitendra Malik et al.
Model-free Safe Control for Zero-Violation Reinforcement Learning
Weiye Zhao, Tairan He, Changliu Liu
Motion Forecasting with Unlikelihood Training in Continuous Space
Deyao Zhu, Mohamed Zahran, Li Erran Li et al.
Motivating Physical Activity via Competitive Human-Robot Interaction
Boling Yang, Golnaz Habibi, Patrick Lancaster et al.
Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views
Xiaosong Jia, Liting Sun, Hang Zhao et al.
Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals
Nachiket Deo, Eric Wolff, Oscar Beijbom
My House, My Rules: Learning Tidying Preferences with Graph Neural Networks
Ivan Kapelyukh, Edward Johns