Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Imitation Learning from Observation with Automatic Discount Scheduling
Yuyang Liu, Weijun Dong, Yingdong Hu +4 more
2023
Deep Kernel and Image Quality Estimators for Optimizing Robotic Ultrasound Controller using Bayesian Optimization
Deepak Raina, SH Chandrashekhara, Richard Voyles +2 more
2023
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
Fan Yang, Wenxuan Zhou, Zuxin Liu +2 more
2023
Zero-Shot Transfer in Imitation Learning
Alvaro Cauderan, Gauthier Boeshertz, Florian Schwarb +1 more
2023
Learning Interactive Real-World Simulators
Sherry Yang, Yilun Du, Kamyar Ghasemipour +4 more
2023
Distributional Soft Actor-Critic with Three Refinements
Jingliang Duan, Wenxuan Wang, Liming Xiao +6 more
2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen, Junyin Ye, Hang Zhao +9 more
2023
Reinforcement learning for freeform robot design
Muhan Li, David Matthews, Sam Kriegman
2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation
Sili Huang, Yanchao Sun, Jifeng Hu +5 more
2023
Safe Deep Policy Adaptation
Wenli Xiao, Tairan He, John Dolan +1 more
2023
Deep Model Predictive Optimization
Jacob Sacks, Rwik Rana, Kevin Huang +3 more
2023
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El-Hariry, Antoine Richard, Vivek Muralidharan +2 more
2023
Improving Reinforcement Learning Efficiency with Auxiliary Tasks in Non-Visual Environments: A Comparison
Moritz Lange, Noah Krystiniak, Raphael C. Engelhardt +2 more
2023
ClusVPR: Efficient Visual Place Recognition with Clustering-based Weighted Transformer
Yifan Xu, Pourya Shamsolmoali, Jie Yang
2023
Deep reinforcement learning for machine scheduling: Methodology, the state-of-the-art, and future directions
Maziyar Khadivi, Todd Charter, Marjan Yaghoubi +4 more
2023
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks
Victor Vadakechirayath George
2023
Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators
Seyed Mo Mirvakili, Ehsan Haghighat, Douglas Sim
2023
Differentiable Modeling and Optimization of Battery Electrolyte Mixtures Using Geometric Deep Learning
Shang Zhu, Bharath Ramsundar, Emil Annevelink +5 more
2023
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning
Finn Rietz, Erik Schaffernicht, Stefan Heinrich +1 more
2023
An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
Eisa Hedayati, Fatemeh Safari, George Verghese +4 more
2023
COMPOSER: Scalable and Robust Modular Policies for Snake Robots
Yuyou Zhang, Yaru Niu, Xingyu Liu +1 more
2023
HarmonyDream: Task Harmonization Inside World Models
Haoyu Ma, Jialong Wu, Ningya Feng +5 more
2023
Adversarial Imitation Learning from Visual Observations using Latent Information
Vittorio Giammarino, James Queeney, Ioannis Ch. Paschalidis
2023
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
Xin Liu, Yaran Chen, Dongbin Zhao
2023