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Generalization in Reinforcement Learning by Soft Data Augmentation
NicklasHansen, XiaolongWang....
Published date-11/26/2020
DataAugmentation
Extensive efforts have been made to improve the generalization ability of Reinforcement Learning (RL) methods via domain randomization and data augmentation. However, as more factors of variation are introduced during …
Episodic Self-Imitation Learning with Hindsight
TianhongDai, HengyanLiu, AnilAnthonyBharath....
Published date-11/26/2020
ContinuousControl, ImitationLearning
Episodic self-imitation learning, a novel self-imitation algorithm with a trajectory selection module and an adaptive loss function, is proposed to speed up reinforcement learning. Compared to the original self-imitation learning …
MultiStar: Instance Segmentation of Overlapping Objects with Star-Convex Polygons
FlorinC.Walter, SebastianDamrich, FredA.Hamprecht....
Published date-11/26/2020
InstanceSegmentation, SemanticSegmentation
Instance segmentation of overlapping objects in biomedical images remains a largely unsolved problem. We take up this challenge and present MultiStar, an extension to the popular instance segmentation method StarDist. …
An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space
MajidMoghadam, AliAlizadeh, EnginTekin....
Published date-11/26/2020
DecisionMaking, MotionPlanning, TimeSeries
Tactical decision making and strategic motion planning for autonomous highway driving are challenging due to the complication of predicting other road users' behaviors, diversity of environments, and complexity of the …
SLURP: A Spoken Language Understanding Resource Package
EmanueleBastianelli, AndreaVanzo, PawelSwietojanski....
Published date-11/26/2020
SpokenLanguageUnderstanding
Spoken Language Understanding infers semantic meaning directly from audio data, and thus promises to reduce error propagation and misunderstandings in end-user applications. However, publicly available SLU resources are limited. In …
TinaFace: Strong but Simple Baseline for Face Detection
YanjiaZhu, HongxiangCai, ShuhanZhang....
Published date-11/26/2020
DataAugmentation, FaceDetection, ObjectDetection
Face detection has received intensive attention in recent years. Many works present lots of special methods for face detection from different perspectives like model architecture, data augmentation, label assignment and …