Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Waypoint Generation in Row-based Crops with Deep Learning and Contrastive Clustering
Francesco Salvetti, Simone Angarano, Mauro Martini +2 more
2022
Multi-Horizon Representations with Hierarchical Forward Models for Reinforcement Learning
Trevor McInroe, Lukas Schäfer, Stefano V. Albrecht
2022
Imitation Learning for Generalizable Self-driving Policy with Sim-to-real Transfer
Zoltán Lőrincz, Márton Szemenyei, Róbert Moni
2022
Neural Moving Horizon Estimation for Robust Flight Control
Bingheng Wang, Zhengtian Ma, Shupeng Lai +1 more
2022
Model-Based Imitation Learning Using Entropy Regularization of Model and Policy
Eiji Uchibe
2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning
Guiliang Liu, Yudong Luo, Ashish Gaurav +2 more
2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming
Davide Corsi, Raz Yerushalmi, Guy Amir +3 more
2022
Learning Multi-Task Transferable Rewards via Variational Inverse Reinforcement Learning
Se-Wook Yoo, Seung-Woo Seo
2022
Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications
Sai Munikoti, Deepesh Agarwal, Laya Das +2 more
2022
A Search-Based Testing Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian, Manel Abdellatif, Lionel Briand +2 more
2022
Deep Learning and Handheld Augmented Reality Based System for Optimal Data Collection in Fault Diagnostics Domain
Ryan Nguyen, Rahul Rai
2022
Mean-Semivariance Policy Optimization via Risk-Averse Reinforcement Learning
Xiaoteng Ma, Shuai Ma, Li Xia +1 more
2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?
Xiang Li, Jinghuan Shang, Srijan Das +1 more
2022
Adversarial Counterfactual Environment Model Learning
Xiong-Hui Chen, Yang Yu, Zheng-Mao Zhu +8 more
2022
A Study of Continual Learning Methods for Q-Learning
Benedikt Bagus, Alexander Gepperth
2022
Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization
Yinqian Sun, Yi Zeng, Yang Li
2022
Physics-Inspired Temporal Learning of Quadrotor Dynamics for Accurate Model Predictive Trajectory Tracking
Alessandro Saviolo, Guanrui Li, Giuseppe Loianno
2022
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driving on CPU
Daniel Fusaro, Emilio Olivastri, Daniele Evangelista +3 more
2022
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
Yihan Du, Siwei Wang, Longbo Huang
2022
The Spike Gating Flow: A Hierarchical Structure Based Spiking Neural Network for Online Gesture Recognition
Zihao Zhao, Yanhong Wang, Qiaosha Zou +7 more
2022
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte +1 more
2022
Learning Soft Constraints From Constrained Expert Demonstrations
Ashish Gaurav, Kasra Rezaee, Guiliang Liu +1 more
2022
ViT-BEVSeg: A Hierarchical Transformer Network for Monocular Birds-Eye-View Segmentation
Pramit Dutta, Ganesh Sistu, Senthil Yogamani +2 more
2022
Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware
Simon F Muller-Cleve, Vittorio Fra, Lyes Khacef +8 more
2022