Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,661)
Clear ✕Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
Hermann Baumgartl, Ricardo Buettner
2021
Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Nathan Lutes, K. Krishnamurthy, Venkata Sriram Siddhardh Nadendla +1 more
2021
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments
Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Angelos A. Amanatiadis +1 more
2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana, Vibhavari Dasagi, Jesse Haviland +3 more
2021
An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients
João Carvalho, Davide Tateo, Fabio Muratore +1 more
2021
Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language
Kevin Eloff, Herman A. Engelbrecht
2021
Hierarchical Few-Shot Imitation with Skill Transition Models
Kourosh Hakhamaneshi, Ruihan Zhao, Albert Zhan +2 more
2021
Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning
Peide Cai, Hengli Wang, Huaiyang Huang +2 more
2021
High-Accuracy Model-Based Reinforcement Learning, a Survey
Aske Plaat, Walter Kosters, Mike Preuss
2021
Constrained Feedforward Neural Network Training via Reachability Analysis
Long Kiu Chung, Adam Dai, Derek Knowles +2 more
2021
Deep Learning based Food Instance Segmentation using Synthetic Data
D. Park, J. Lee, J. Lee +1 more
2021
Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco, Aviral Kumar, Xinyang Geng +1 more
2021
A Hierarchical Bayesian model for Inverse RL in Partially-Controlled Environments
Kenneth Bogert, Prashant Doshi
2021
Generalization of graph network inferences in higher-order graphical models
Yicheng Fei, Xaq Pitkow
2021
The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
Andrea Dittadi, Frederik Träuble, Manuel Wüthrich +7 more
2021
Hierarchical Neural Dynamic Policies
Shikhar Bahl, Abhinav Gupta, Deepak Pathak
2021
Conservative Offline Distributional Reinforcement Learning
Yecheng Jason Ma, Dinesh Jayaraman, Osbert Bastani
2021
Distributed Deep Reinforcement Learning for Intelligent Traffic Monitoring with a Team of Aerial Robots
Behzad Khamidehi, Elvino S. Sousa
2021
Behavior Self-Organization Supports Task Inference for Continual Robot Learning
Muhammad Burhan Hafez, Stefan Wermter
2021
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym
Rika Antonova, Fabio Ramos, Rafael Possas +1 more
2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
Nicolò Botteghi, Luuk Grefte, Mannes Poel +4 more
2021
Deep Learning for Embodied Vision Navigation: A Survey
Fengda Zhu, Yi Zhu, Vincent CS Lee +2 more
2021
Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation
Yao Yao, Li Xiao, Zhicheng An +2 more
2021
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces
Nicolò Botteghi, Khaled Alaa, Mannes Poel +4 more
2021