Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Confidence-Controlled Exploration: Efficient Sparse-Reward Policy Learning for Robot Navigation
Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle +5 more
2023
Value function estimation using conditional diffusion models for control
Bogdan Mazoure, Walter Talbott, Miguel Angel Bautista +3 more
2023
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow
Risheek Garrepalli, Jisoo Jeong, Rajeswaran C Ravindran +2 more
2023
Exploring the effects of robotic design on learning and neural control
Joshua Paul Powers
2023
Best of Both Worlds: Hybrid SNN-ANN Architecture for Event-based Optical Flow Estimation
Shubham Negi, Deepika Sharma, Adarsh Kumar Kosta +1 more
2023
Seizing Serendipity: Exploiting the Value of Past Success in Off-Policy Actor-Critic
Tianying Ji, Yu Luo, Fuchun Sun +3 more
2023
Data Quality in Imitation Learning
Suneel Belkhale, Yuchen Cui, Dorsa Sadigh
2023
Evaluating Continual Learning on a Home Robot
Sam Powers, Abhinav Gupta, Chris Paxton
2023
A Bio-Inspired Chaos Sensor Model Based on the Perceptron Neural Network: Machine Learning Concept and Application for Computational Neuro-Science
Andrei Velichko, Petr Boriskov, Maksim Belyaev +1 more
2023
Independent Modular Networks
Hamed Damirchi, Forest Agostinelli, Pooyan Jamshidi
2023
Identifying visible tissue in intraoperative ultrasound: a method and application
Alistair Weld, Luke Dixon, Giulio Anichini +4 more
2023
LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma, William Liang, Vaidehi Som +4 more
2023
Progressive Learning for Physics-informed Neural Motion Planning
Ruiqi Ni, Ahmed H. Qureshi
2023
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts
Returaj Burnwal, Anirban Santara, Nirav P. Bhatt +2 more
2023
A Graph Reconstruction by Dynamic Signal Coefficient for Fault Classification
Wenbin He, Jianxu Mao, Yaonan Wang +3 more
2023
Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective
Haoran He, Peilin Wu, Chenjia Bai +5 more
2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering
Kang Xu, Chenjia Bai, Xiaoteng Ma +5 more
2023
A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
Paul Barde, Jakob Foerster, Derek Nowrouzezahrai +1 more
2023
An Analytic End-to-End Deep Learning Algorithm based on Collaborative Learning
Sitan Li, Chien Chern Cheah
2023
Decomposing the Enigma: Subgoal-based Demonstration Learning for Formal Theorem Proving
Xueliang Zhao, Wenda Li, Lingpeng Kong
2023
Inverse Preference Learning: Preference-based RL without a Reward Function
Joey Hejna, Dorsa Sadigh
2023
Adaptive Policy Learning to Additional Tasks
Wenjian Hao, Zehui Lu, Zihao Liang +2 more
2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold, Philip Tobuschat, Hao Ma +3 more
2023
A Mini Review on the utilization of Reinforcement Learning with OPC UA
Simon Schindler, Martin Uray, Stefan Huber
2023