DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning

6 September 2019

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

8 / 8 papers shown

Title
Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning Qisen Yang Huanqian Wang Mukun Tong Wenjie Shi Gao Huang Shiji Song 40 5 0 04 Sep 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 32 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 50 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 31 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 40 10 0 29 Nov 2021
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation Theo Jaunet G. Bono Romain Vuillemot Christian Wolf 26 3 0 24 Sep 2021
Why? Why not? When? Visual Explanations of Agent Behavior in Reinforcement Learning Aditi Mishra Utkarsh Soni Jinbin Huang Chris Bryan OffRL 27 23 0 06 Apr 2021
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 43 220 0 21 Aug 2020