Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,574)
Clear ✕Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci +2 more
2019
Frontal Low-rank Random Tensors for Fine-grained Action Segmentation
Yan Zhang, Krikamol Muandet, Qianli Ma +2 more
2019
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction
Alban Laflaquière, Verena V. Hafner
2019
Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation
Srivatsan Krishnan, Behzad Boroujerdian, William Fu +2 more
2019
Harnessing Reinforcement Learning for Neural Motion Planning
Tom Jurgenson, Aviv Tamar
2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning
Yang Liu, Yunan Luo, Yuanyi Zhong +3 more
2019
Particle Filter Recurrent Neural Networks
Xiao Ma, Peter Karkus, David Hsu +1 more
2019
Recent Advances in Imitation Learning from Observation
Faraz Torabi, Garrett Warnell, Peter Stone
2019
A survey of Object Classification and Detection based on 2D/3D data
Xiaoke Shen
2019
Learning Navigation Subroutines from Egocentric Videos
Ashish Kumar, Saurabh Gupta, Jitendra Malik
2019
LeTS-Drive: Driving in a Crowd by Learning from Tree Search
Panpan Cai, Yuanfu Luo, Aseem Saxena +2 more
2019
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems
Geoffrey Roeder, Paul K. Grant, Andrew Phillips +2 more
2019
Differentiable Algorithm Networks for Composable Robot Learning
Peter Karkus, Xiao Ma, David Hsu +3 more
2019
Interactive Differentiable Simulation
Eric Heiden, David Millard, Hejia Zhang +1 more
2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave, Michael Dennis, Cody Wild +3 more
2019
Hierarchical Reinforcement Learning for Concurrent Discovery of Compound and Composable Policies
Domingo Esteban, Leonel Rozo, Darwin G. Caldwell
2019
Evolving neural networks to follow trajectories of arbitrary complexity
Benjamin Inden, Jürgen Jost
2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao, Xudong Sun, Volker Tresp
2019
Synthesis of Provably Correct Autonomy Protocols for Shared Control
Murat Cubuktepe, Nils Jansen, Mohammed Alsiekh +1 more
2019
Output-Constrained Bayesian Neural Networks
Wanqian Yang, Lars Lorch, Moritz A. Graule +5 more
2019
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction
Narendra Patwardhan, Zequn Wang
2019
Supervised Learning of the Next-Best-View for 3D Object Reconstruction
Miguel Mendoza, J. Irving Vasquez-Gomez, Hind Taud +2 more
2019
Successor Options: An Option Discovery Framework for Reinforcement Learning
Rahul Ramesh, Manan Tomar, Balaraman Ravindran
2019
VGG Fine-tuning for Cooking State Recognition
Juan Wilches
2019