Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕MoVie: Visual Model-Based Policy Adaptation for View Generalization
Sizhe Yang, Yanjie Ze, Huazhe Xu
2023
Qualitative Prediction of Multi-Agent Spatial Interactions
Sariah Mghames, Luca Castri, Marc Hanheide +1 more
2023
Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning
Arvi Jonnarth, Jie Zhao, Michael Felsberg
2023
IIFL: Implicit Interactive Fleet Learning from Heterogeneous Human Supervisors
Gaurav Datta, Ryan Hoque, Anrui Gu +2 more
2023
Learning to Modulate pre-trained Models in RL
Thomas Schmied, Markus Hofmarcher, Fabian Paischer +2 more
2023
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement
Yiman Zhu, Lu Wang, Jingyi Yuan +1 more
2023
Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills
Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro
2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation
Massimiliano Patacchiola, Mingfei Sun, Katja Hofmann +1 more
2023
Unsupervised Deformable Ultrasound Image Registration and Its Application for Vessel Segmentation
FNU Abhimanyu, Andrew L. Orekhov, Ananya Bal +2 more
2023
Transferable Curricula through Difficulty Conditioned Generators
Sidney Tio, Pradeep Varakantham
2023
MP3: Movement Primitive-Based (Re-)Planning Policy
Fabian Otto, Hongyi Zhou, Onur Celik +3 more
2023
Concavity-Induced Distance for Unoriented Point Cloud Decomposition
Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan +2 more
2023
Learning Space-Time Semantic Correspondences
Du Tran, Jitendra Malik
2023
Granger Causal Interaction Skill Chains
Caleb Chuck, Kevin Black, Aditya Arjun +2 more
2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
Zuxin Liu, Zijian Guo, Haohong Lin +8 more
2023
Optimal Exploration for Model-Based RL in Nonlinear Systems
Andrew Wagenmaker, Guanya Shi, Kevin Jamieson
2023
DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control
Mohammadhossein Malmir, Josip Josifovski, Noah Klarmann +1 more
2023
Evolutionary Curriculum Training for DRL-Based Navigation Systems
Max Asselmeier, Zhaoyi Li, Kelin Yu +1 more
2023
Katakomba: Tools and Benchmarks for Data-Driven NetHack
Vladislav Kurenkov, Alexander Nikulin, Denis Tarasov +1 more
2023
Explaining CLIP through Co-Creative Drawings and Interaction
Varvara Guljajeva, Mar Canet Solà, Isaac Joseph Clarke
2023
Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning
Sha Luo, Lambert Schomaker
2023
Boosting Adversarial Robustness using Feature Level Stochastic Smoothing
Sravanti Addepalli, Samyak Jain, Gaurang Sriramanan +1 more
2023
PEAR: Primitive Enabled Adaptive Relabeling for Boosting Hierarchical Reinforcement Learning
Utsav Singh, Vinay P. Namboodiri
2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
Franck Djeumou, Cyrus Neary, Ufuk Topcu
2023