Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,949)
Clear ✕Autonomous Navigation in Complex Environments
Andrew Gerstenslager, Jomol Lewis, Liam McKenna +1 more
2024
Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
Yinglun Xu, Tarun Suresh, Rohan Gumaste +10 more
2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister +2 more
2023
Visual Spatial Attention and Proprioceptive Data-Driven Reinforcement Learning for Robust Peg-in-Hole Task Under Variable Conditions
André Yuji Yasutomi, Hideyuki Ichiwara, Hiroshi Ito +2 more
2023
Active Third-Person Imitation Learning
Timo Klein, Susanna Weinberger, Adish Singla +1 more
2023
Early and Accurate Detection of Tomato Leaf Diseases Using TomFormer
Asim Khan, Umair Nawaz, Lochan Kshetrimayum +2 more
2023
Efficient Reinforcement Learning via Decoupling Exploration and Utilization
Jingpu Yang, Helin Wang, Qirui Zhao +3 more
2023
A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning
Lei Zhang, Jiacheng Pei, Kaixin Bai +2 more
2023
A Survey of Reinforcement Learning from Human Feedback
Timo Kaufmann, Paul Weng, Viktor Bengs +1 more
2023
REBEL: Reward Regularization-Based Approach for Robotic Reinforcement Learning from Human Feedback
Souradip Chakraborty, Anukriti Singh, Amisha Bhaskar +3 more
2023
Cross-Layer Optimization for Fault-Tolerant Deep Learning
Qing Zhang, Cheng Liu, Bo Liu +4 more
2023
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
David D. Nguyen, David Liebowitz, Surya Nepal +1 more
2023
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis
Rohan Mitta, Hosein Hasanbeig, Jun Wang +3 more
2023
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Abhinav Jain, Vaibhav Unhelkar
2023
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection
Xinghao Zhu, Devesh K. Jha, Diego Romeres +3 more
2023
Active Reinforcement Learning for Robust Building Control
Doseok Jang, Larry Yan, Lucas Spangher +1 more
2023
Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi, Raffaello D'Andrea
2023
Small Dataset, Big Gains: Enhancing Reinforcement Learning by Offline Pre-Training with Model Based Augmentation
Girolamo Macaluso, Alessandro Sestini, Andrew D. Bagdanov
2023
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences
Minyoung Hwang, Luca Weihs, Chanwoo Park +3 more
2023
How to Raise a Robot -- A Case for Neuro-Symbolic AI in Constrained Task Planning for Humanoid Assistive Robots
Niklas Hemken, Florian Jacob, Fabian Peller-Konrad +3 more
2023
Enhancing Robotic Navigation: An Evaluation of Single and Multi-Objective Reinforcement Learning Strategies
Vicki Young, Jumman Hossain, Nirmalya Roy
2023
Can a Transformer Represent a Kalman Filter?
Gautam Goel, Peter Bartlett
2023
System-level Safety Guard: Safe Tracking Control through Uncertain Neural Network Dynamics Models
Xiao Li, Yutong Li, Anouck Girard +1 more
2023
Interpretable Long Term Waypoint-Based Trajectory Prediction Model
Amina Ghoul, Itheri Yahiaoui, Fawzi Nashashibi
2023