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 ✕Importance of Environment Design in Reinforcement Learning: A Study of a Robotic Environment
Mónika Farsang, Luca Szegletes
2021
How To Train Your HERON
Antoine Richard, Stephanie Aravecchia, Thomas Schillaci +2 more
2021
Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking
Paula Gradu, John Hallman, Daniel Suo +7 more
2021
Intrinsically Motivated Open-Ended Multi-Task Learning Using Transfer Learning to Discover Task Hierarchy
Nicolas Duminy, Sao Mai Nguyen, Junshuai Zhu +2 more
2021
Learning Memory-Dependent Continuous Control from Demonstrations
Siqing Hou, Dongqi Han, Jun Tani
2021
A Graph Neural Network to Model Disruption in Human-Aware Robot Navigation
Pilar Bachiller, Daniel Rodriguez-Criado, Ronit R. Jorvekar +3 more
2021
Learning from Demonstrations using Signal Temporal Logic
Aniruddh G. Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis
2021
Large Scale Distributed Collaborative Unlabeled Motion Planning with Graph Policy Gradients
Arbaaz Khan, Vijay Kumar, Alejandro Ribeiro
2021
Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí, Sebastian Curi, Andreas Krause
2021
rl_reach: Reproducible Reinforcement Learning Experiments for Robotic Reaching Tasks
Pierre Aumjaud, David McAuliffe, Francisco Javier Rodríguez Lera +1 more
2021
RL-Scope: Cross-Stack Profiling for Deep Reinforcement Learning Workloads
James Gleeson, Srivatsan Krishnan, Moshe Gabel +3 more
2021
An advantage actor-critic algorithm for robotic motion planning in dense and dynamic scenarios
Chengmin Zhou, Bingding Huang, Pasi Fränti
2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned
Julian Ibarz, Jie Tan, Chelsea Finn +3 more
2021
Ivy: Templated Deep Learning for Inter-Framework Portability
Daniel Lenton, Fabio Pardo, Fabian Falck +2 more
2021
Feedback in Imitation Learning: The Three Regimes of Covariate Shift
Jonathan Spencer, Sanjiban Choudhury, Arun Venkatraman +2 more
2021
A review of motion planning algorithms for intelligent robotics
Chengmin Zhou, Bingding Huang, Pasi Fränti
2021
Multi-Scale Cost Volumes Cascade Network for Stereo Matching
Xiaogang Jia, Wei Chen, Zhengfa Liang +3 more
2021
Improving Reinforcement Learning with Human Assistance: An Argument for Human Subject Studies with HIPPO Gym
Matthew E. Taylor, Nicholas Nissen, Yuan Wang +1 more
2021
Modular approach to data preprocessing in ALOHA and application to a smart industry use case
Cristina Chesta, Luca Rinelli
2021
Interpretable Reinforcement Learning Inspired by Piaget's Theory of Cognitive Development
Aref Hakimzadeh, Yanbo Xue, Peyman Setoodeh
2021
Embedding Symbolic Temporal Knowledge into Deep Sequential Models
Yaqi Xie, Fan Zhou, Harold Soh
2021
Deep Learning for Instance Retrieval: A Survey
Wei Chen, Yu Liu, Weiping Wang +5 more
2021
Probability Trajectory: One New Movement Description for Trajectory Prediction
Pei Lv, Hui Wei, Tianxin Gu +4 more
2021
Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Generalized Buchi Automata
Mingyu Cai, Shaoping Xiao, Zhijun Li +1 more
2021