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 ✕Reinforcement Learning Applications
Yuxi Li
2019
Adversarial shape perturbations on 3D point clouds
Daniel Liu, Ronald Yu, Hao Su
2019
Survey on Deep Neural Networks in Speech and Vision Systems
Mahbubul Alam, Manar D. Samad, Lasitha Vidyaratne +2 more
2019
Model-based Lookahead Reinforcement Learning
Zhang-Wei Hong, Joni Pajarinen, Jan Peters
2019
Continuous Control for High-Dimensional State Spaces: An Interactive Learning Approach
Rodrigo Pérez-Dattari, Carlos Celemin, Javier Ruiz-del-Solar +1 more
2019
Inverse Rational Control with Partially Observable Continuous Nonlinear Dynamics
Saurabh Daptardar, Paul Schrater, Xaq Pitkow
2019
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels
Nils Gessert, Martin Gromniak, Marcel Bengs +2 more
2019
"Conservatives Overfit, Liberals Underfit": The Social-Psychological Control of Affect and Uncertainty
Jesse Hoey, Neil J. MacKinnon
2019
Sim-to-Real Learning for Casualty Detection from Ground Projected Point Cloud Data
Roni Permana Saputra, Nemanja Rakicevic, Petar Kormushev
2019
Vision-based Navigation Using Deep Reinforcement Learning
Jonáš Kulhánek, Erik Derner, Tim de Bruin +1 more
2019
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods
Tianhao Chen, Limei Cheng, Yang Liu +2 more
2019
Fast Multi-Agent Temporal-Difference Learning via Homotopy Stochastic Primal-Dual Optimization
Dongsheng Ding, Xiaohan Wei, Zhuoran Yang +2 more
2019
Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks
Weilin Wan, Aaron Walsman, Dieter Fox
2019
Word2vec to behavior: morphology facilitates the grounding of language in machines
David Matthews, Sam Kriegman, Collin Cappelle +1 more
2019
Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning
Ross E. Allen, Jayesh K. Gupta, Jaime Pena +3 more
2019
Robby is Not a Robber (anymore): On the Use of Institutions for Learning Normative Behavior
Stevan Tomic, Federico Pecora, Alessandro Saffiotti
2019
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
Nicolas Marchal, Charlotte Moraldo, Roland Siegwart +3 more
2019
GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Martin Engelcke, Adam R. Kosiorek, Oiwi Parker Jones +1 more
2019
Hindsight Trust Region Policy Optimization
Hanbo Zhang, Site Bai, Xuguang Lan +2 more
2019
Staged deployment of interactive multi-application HPC workflows
Wouter Klijn, Sandra Diaz-Pier, Abigail Morrison +1 more
2019
Maximum Causal Entropy Specification Inference from Demonstrations
Marcell Vazquez-Chanlatte, Sanjit A. Seshia
2019
A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
Felix Leibfried, Sergio Pascual-Diaz, Jordi Grau-Moya
2019
Classified Regression for Bayesian Optimization: Robot Learning with Unknown Penalties
Alonso Marco, Dominik Baumann, Philipp Hennig +1 more
2019
Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm
Leo Cazenille, Nicolas Bredeche, José Halloy
2019