Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕The Virtuous Machine - Old Ethics for New Technology?
Nicolas Berberich, Klaus Diepold
2018
Modular meta-learning
Ferran Alet, Tomás Lozano-Pérez, Leslie P. Kaelbling
2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
2018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart +3 more
2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling +1 more
2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems
Yun Long, Xueyuan She, Saibal Mukhopadhyay
2018
Learning from Outside the Viability Kernel: Why we Should Build Robots that can Fall with Grace
Steve Heim, Alexander Spröwitz
2018
BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning
Boris Ivanovic, James Harrison, Apoorva Sharma +2 more
2018
Automatic formation of the structure of abstract machines in hierarchical reinforcement learning with state clustering
Aleksandr I. Panov, Aleksey Skrynnik
2018
Marginal Policy Gradients: A Unified Family of Estimators for Bounded Action Spaces with Applications
Carson Eisenach, Haichuan Yang, Ji Liu +1 more
2018
DeepTerramechanics: Terrain Classification and Slip Estimation for Ground Robots via Deep Learning
Ramon Gonzalez, Karl Iagnemma
2018
An Efficient, Generalized Bellman Update For Cooperative Inverse Reinforcement Learning
Dhruv Malik, Malayandi Palaniappan, Jaime F. Fisac +3 more
2018
State Classification with CNN
Astha Sharma
2018
FlowNet3D: Learning Scene Flow in 3D Point Clouds
Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
2018
Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking
Hui Zhou, Wanli Ouyang, Jian Cheng +2 more
2018
DAQN: Deep Auto-encoder and Q-Network
Daiki Kimura
2018
Robust Place Categorization with Deep Domain Generalization
Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo +1 more
2018
Supervised Policy Update for Deep Reinforcement Learning
Quan Vuong, Yiming Zhang, Keith W. Ross
2018
Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization
German I. Parisi, Jun Tani, Cornelius Weber +1 more
2018
Convolutional neural network compression for natural language processing
Krzysztof Wróbel, Marcin Pietroń, Maciej Wielgosz +2 more
2018
A0C: Alpha Zero in Continuous Action Space
Thomas M. Moerland, Joost Broekens, Aske Plaat +1 more
2018
Reinforcement Learning for Heterogeneous Teams with PALO Bounds
Roi Ceren, Prashant Doshi, Keyang He
2018
Particle Filter Networks with Application to Visual Localization
Peter Karkus, David Hsu, Wee Sun Lee
2018
Multi-task Maximum Entropy Inverse Reinforcement Learning
Adam Gleave, Oliver Habryka
2018