Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,549)
Clear ✕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
Data-Efficient Hierarchical Reinforcement Learning
Ofir Nachum, Shixiang Gu, Honglak Lee +1 more
2018
A Framework and Method for Online Inverse Reinforcement Learning
Saurabh Arora, Prashant Doshi, Bikramjit Banerjee
2018
Learning Real-World Robot Policies by Dreaming
AJ Piergiovanni, Alan Wu, Michael S. Ryoo
2018
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow, Ofir Nachum, Edgar Duenez-Guzman +1 more
2018
Fast Retinomorphic Event Stream for Video Recognition and Reinforcement Learning
Wanjia Liu, Huaijin Chen, Rishab Goel +3 more
2018
Learning Representations of Spatial Displacement through Sensorimotor Prediction
Michael Garcia Ortiz, Alban Laflaquière
2018
Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning
Tharindu Fernando, Simon Denman, Sridha Sridharan +1 more
2018
Task Transfer by Preference-Based Cost Learning
Mingxuan Jing, Xiaojian Ma, Wenbing Huang +2 more
2018
GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks
Amir Yazdanbakhsh, Hajar Falahati, Philip J. Wolfe +3 more
2018
Graph Neural Networks for Learning Robot Team Coordination
Amanda Prorok
2018