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 ✕Optimal Control-Based Baseline for Guided Exploration in Policy Gradient Methods
Xubo Lyu, Site Li, Seth Siriya +2 more
2020
Intrinsic Robotic Introspection: Learning Internal States From Neuron Activations
Nikos Pitsillos, Ameya Pore, Bjorn Sand Jensen +1 more
2020
Deep Reinforcement Learning Based Dynamic Route Planning for Minimizing Travel Time
Yuanzhe Geng, Erwu Liu, Rui Wang +1 more
2020
Shaping Rewards for Reinforcement Learning with Imperfect Demonstrations using Generative Models
Yuchen Wu, Melissa Mozifian, Florian Shkurti
2020
Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring
Jingxi Chen, Amrish Baskaran, Zhongshun Zhang +1 more
2020
NEARL: Non-Explicit Action Reinforcement Learning for Robotic Control
Nan Lin, Yuxuan Li, Yujun Zhu +6 more
2020
Observation Space Matters: Benchmark and Optimization Algorithm
Joanne Taery Kim, Sehoon Ha
2020
Can a Robot Trust You? A DRL-Based Approach to Trust-Driven Human-Guided Navigation
Vishnu Sashank Dorbala, Arjun Srinivasan, Aniket Bera
2020
Neuromorphic control for optic-flow-based landings of MAVs using the Loihi processor
Julien Dupeyroux, Jesse Hagenaars, Federico Paredes-Vallés +1 more
2020
Dark Reciprocal-Rank: Boosting Graph-Convolutional Self-Localization Network via Teacher-to-student Knowledge Transfer
Koji Takeda, Kanji Tanaka
2020
DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation
Vittorio Mazzia, Francesco Salvetti, Diego Aghi +1 more
2020
Bayesian Optimization Meets Laplace Approximation for Robotic Introspection
Matthias Humt, Jongseok Lee, Rudolph Triebel
2020
Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications
Bin Xu, Jun Hou, Junzhe Shi +4 more
2020
Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient
Samuele Tosatto, João Carvalho, Jan Peters
2020
MELD: Meta-Reinforcement Learning from Images via Latent State Models
Tony Z. Zhao, Anusha Nagabandi, Kate Rakelly +2 more
2020
On Embodied Visual Navigation in Real Environments Through Habitat
Marco Rosano, Antonino Furnari, Luigi Gulino +1 more
2020
TAMPC: A Controller for Escaping Traps in Novel Environments
Sheng Zhong, Zhenyuan Zhang, Nima Fazeli +1 more
2020
Decentralized Deep Learning using Momentum-Accelerated Consensus
Aditya Balu, Zhanhong Jiang, Sin Yong Tan +3 more
2020
Safety Verification of Model Based Reinforcement Learning Controllers
Akshita Gupta, Inseok Hwang
2020
Axiom Learning and Belief Tracing for Transparent Decision Making in Robotics
Tiago Mota, Mohan Sridharan
2020
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Vaisakh Shaj, Philipp Becker, Dieter Buchler +5 more
2020
Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution
Ximin Li, Xiaodong Wei, Xiaowei Qin
2020
DeepApple: Deep Learning-based Apple Detection using a Suppression Mask R-CNN
Pengyu Chu, Zhaojian Li, Kyle Lammers +2 more
2020
Robot Design With Neural Networks, MILP Solvers and Active Learning
Sanjai Narain, Emily Mak, Dana Chee +6 more
2020