DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning

6 September 2019

Papers citing "DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning"

6 / 6 papers shown

Title
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
AutoDOViz: Human-Centered Automation for Decision Optimization D. Weidele S. Afzal Abel N. Valente Cole Makuch Owen Cornec ... Radu Marinescu Paulito Palmes Elizabeth M. Daly Loraine Franke D. Haehn OffRL 35 4 0 19 Feb 2023
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning Xumeng Wang Wei Chen Jiazhi Xia Zhen Wen Rongchen Zhu Tobias Schreck FedML 26 20 0 16 Aug 2022
An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments Assem Sadek G. Bono Boris Chidlovskii Christian Wolf 18 10 0 29 Nov 2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation Theo Jaunet G. Bono Romain Vuillemot Christian Wolf 21 2 0 24 Sep 2021
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 21 216 0 21 Aug 2020