Training a Resilient Q-Network against Observational Interference

18 February 2021

Papers citing "Training a Resilient Q-Network against Observational Interference"

10 / 10 papers shown

Title
From Descriptive Richness to Bias: Unveiling the Dark Side of Generative Image Caption Enrichment Yusuke Hirota Ryo Hachiuma Chao-Han Huck Yang Yuta Nakashima VLM 41 3 0 20 Jun 2024
BERRY: Bit Error Robustness for Energy-Efficient Reinforcement Learning-Based Autonomous Systems Zishen Wan Nandhini Chandramoorthy Karthik Swaminathan Pin-Yu Chen Vijay Janapa Reddi A. Raychowdhury 43 8 0 19 Jul 2023
Causal Video Summarizer for Video Exploration Jia-Hong Huang Chao-Han Huck Yang Pin-Yu Chen Andrew Brown M. Worring VGen 26 9 0 04 Jul 2023
Causal Reinforcement Learning: A Survey Zhi-Hong Deng Jing Jiang Guodong Long Chen Zhang CML LRM 50 13 0 04 Jul 2023
Explainable Reinforcement Learning via a Causal World Model Zhongwei Yu Jingqing Ruan Dengpeng Xing CML 32 15 0 04 May 2023
Q-Cogni: An Integrated Causal Reinforcement Learning Framework C. Cunha Wei Liu T. French Ajmal Saeed Mian 16 1 0 26 Feb 2023
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement Xinmeng Xu Weiping Tu Yuhong Yang 24 8 0 07 Dec 2022
Inference and Denoise: Causal Inference-based Neural Speech Enhancement Tsun-An Hsieh Chao-Han Huck Yang Pin-Yu Chen Sabato Marco Siniscalchi Yu Tsao CML 52 2 0 02 Nov 2022
Neural Network Verification in Control M. Everett AAML 34 16 0 30 Sep 2021
Improving Fair Predictions Using Variational Inference In Causal Models Rik Helwegen Christos Louizos Patrick Forré FaML 16 6 0 25 Aug 2020