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 ✕Memory-based Deep Reinforcement Learning for Obstacle Avoidance in UAV with Limited Environment Knowledge
Abhik Singla, Sindhu Padakandla, Shalabh Bhatnagar
2018
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Shangtong Zhang, Hao Chen, Hengshuai Yao
2018
QUOTA: The Quantile Option Architecture for Reinforcement Learning
Shangtong Zhang, Borislav Mavrin, Linglong Kong +2 more
2018
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
2018
Navigation by Imitation in a Pedestrian-Rich Environment
Jing Bi, Tianyou Xiao, Qiuyue Sun +1 more
2018
Formal Verification of Neural Network Controlled Autonomous Systems
Xiaowu Sun, Haitham Khedr, Yasser Shoukry
2018
DQN-TAMER: Human-in-the-Loop Reinforcement Learning with Intractable Feedback
Riku Arakawa, Sosuke Kobayashi, Yuya Unno +2 more
2018
Empirical Evaluation of Contextual Policy Search with a Comparison-based Surrogate Model and Active Covariance Matrix Adaptation
Alexander Fabisch
2018
Learning sparse relational transition models
Victoria Xia, Zi Wang, Leslie Pack Kaelbling
2018
The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning
Vahid Behzadan, Arslan Munir
2018
Action-Agnostic Human Pose Forecasting
Hsu-kuang Chiu, Ehsan Adeli, Borui Wang +2 more
2018
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents
Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa +1 more
2018
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Yanfu Zhang, Wenshan Wang, Rogerio Bonatti +2 more
2018
Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms
Winfried Lötzsch
2018
Factorized Machine Self-Confidence for Decision-Making Agents
Brett W Israelsen, Nisar R Ahmed, Eric Frew +2 more
2018
CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement Learning
Cédric Colas, Pierre Fournier, Olivier Sigaud +2 more
2018
Sequential Learning of Movement Prediction in Dynamic Environments using LSTM Autoencoder
Meenakshi Sarkar, Debasish Ghose
2018
Online Visual Robot Tracking and Identification using Deep LSTM Networks
Hafez Farazi, Sven Behnke
2018
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand their Physical Limitations
Maxime Devanne, Sao Mai Nguyen
2018
DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning
Alex Olsen, Dmitry A. Konovalov, Bronson Philippa +10 more
2018
Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing
Zhanpeng He, Ryan Julian, Eric Heiden +5 more
2018
Primitive Fitting Using Deep Boundary Aware Geometric Segmentation
Duanshun Li, Chen Feng
2018
Reinforcement Learning with Perturbed Rewards
Jingkang Wang, Yang Liu, Bo Li
2018
Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition
Jianwei Yang, Jiasen Lu, Stefan Lee +2 more
2018