Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,691)
Clear ✕Model-Based Reparameterization Policy Gradient Methods: Theory and Practical Algorithms
Shenao Zhang, Boyi Liu, Zhaoran Wang +1 more
2023
Non-parametric regression for robot learning on manifolds
P. C. Lopez-Custodio, K. Bharath, A. Kucukyilmaz +1 more
2023
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou +3 more
2023
Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
Nicholas E. Corrado, Yuxiao Qu, John U. Balis +2 more
2023
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen +5 more
2023
Relational Object-Centric Actor-Critic
Leonid Ugadiarov, Vitaliy Vorobyov, Aleksandr I. Panov
2023
Conditionally Combining Robot Skills using Large Language Models
K. R. Zentner, Ryan Julian, Brian Ichter +1 more
2023
Learning-based adaption of robotic friction models
Philipp Scholl, Maged Iskandar, Sebastian Wolf +5 more
2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Michael Beukman, Devon Jarvis, Richard Klein +2 more
2023
Multi-Agent Reinforcement Learning-Based UAV Pathfinding for Obstacle Avoidance in Stochastic Environment
Qizhen Wu, Kexin Liu, Lei Chen +1 more
2023
Neural Potential Field for Obstacle-Aware Local Motion Planning
Muhammad Alhaddad, Konstantin Mironov, Aleksey Staroverov +1 more
2023
Reinforcement learning based local path planning for mobile robot
Mehmet Gok, Mehmet Tekerek, Hamza Aydemir
2023
Finetuning Offline World Models in the Real World
Yunhai Feng, Nicklas Hansen, Ziyan Xiong +2 more
2023
tagE: Enabling an Embodied Agent to Understand Human Instructions
Chayan Sarkar, Avik Mitra, Pradip Pramanick +1 more
2023
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning
Sachit Kuhar, Shuo Cheng, Shivang Chopra +2 more
2023
Enhanced Low-Dimensional Sensing Mapless Navigation of Terrestrial Mobile Robots Using Double Deep Reinforcement Learning Techniques
Linda Dotto de Moraes, Victor Augusto Kich, Alisson Henrique Kolling +4 more
2023
RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning
Sarah Coffland, Katie Christensen, Filip Jagodzinski +1 more
2023
Contrastive Preference Learning: Learning from Human Feedback without RL
Joey Hejna, Rafael Rafailov, Harshit Sikchi +4 more
2023
PathRL: An End-to-End Path Generation Method for Collision Avoidance via Deep Reinforcement Learning
Wenhao Yu, Jie Peng, Quecheng Qiu +3 more
2023
How Can Everyday Users Efficiently Teach Robots by Demonstrations?
Maram Sakr, Zhikai Zhang, Benjamin Li +4 more
2023
Few-Shot In-Context Imitation Learning via Implicit Graph Alignment
Vitalis Vosylius, Edward Johns
2023
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Li Ding, Jenny Zhang, Jeff Clune +2 more
2023
Neural Packing: from Visual Sensing to Reinforcement Learning
Juzhan Xu, Minglun Gong, Hao Zhang +2 more
2023
Reaching the Limit in Autonomous Racing: Optimal Control versus Reinforcement Learning
Yunlong Song, Angel Romero, Matthias Mueller +2 more
2023