In addition, as KGs have too many attributes and entities, their combination with RL leads to too many action spaces and states in the reinforcement learning space, which complicates the search of action spaces. Furthermore, in order to solve this problem, we proposed a new hierarchical ...
Leveraging Modality-specific Representations for Audiovisual Speech Recognition via Reinforcement LearningChen Chen; Hu Yuchen; Zhang Qiang; Zou Heqing; Zhu Beier; Chng Eng SiongMutual-enhanced Incongruity Learning Network for Multimodal Sarcasm DetectionQiao Yang; Jing Liqiang; Song Xuemeng; Chen Xiaolin...
ii) Developing Multi-modal Markov Decision Process ($MMDP$) to model the multi-modal reinforcement learning for M-IoT service framework. iii) Developing Tensor Policy Iteration algorithm ($TPIA$) to solve the optimal tensor policy. Due to using tensor keeps the multi-modal relations of the ...
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning [PDF8] [Copy] [Kimi11] Authors: Yuexiang Zhai ; Hao Bai ; Zipeng Lin ; Jiayi Pan ; Shengbang Tong ; Yife…
除自编码器外, 强化学习(reinforcement learning) [115]是目前图像描述任务的另一大主流框架. 强化学习是一种通过观察环境来调整行动, 以取得最大化预期收益的学习模式. 图像描述任务在训练时的描述词是同步输入的, 而测试时只能逐个预测, 因而存在损失评估差异. Rennie等[116]在增强学习框架下提出自批判训练方式,...
除自编码器外, 强化学习(reinforcement learning) [115]是目前图像描述任务的另一大主流框架. 强化学习是一种通过观察环境来调整行动, 以取得最大化预期收益的学习模式. 图像描述任务在训练时的描述词是同步输入的, 而测试时只能逐个预测, 因而存在损失评估差异. Rennie等[116]在增强学习框架下提出自批判训练方式,...
Federated learning for supervised cross-modal retrieval In the last decade, the explosive surge in multi-modal data has propelled cross-modal retrieval into the forefront of information retrieval research. Excep... A Li,Y Li,Y Shao - 《World Wide Web-internet & Web Information Systems》 被引量...
GeoDRL: A Self-Learning Framework for Geometry Problem Solving using Reinforcement Learning in Deductive Reasoning Shuai Peng, Di Fu, Yijun Liang, Liangcai Gao, Zhi Tang 2023 MMSearch: Benchmarking the Potential of Large Models as Multi-modal Search Engin...
Optical coherence tomography-guided robotic ophthalmic microsurgery via reinforcement learning from demonstration. IEEE Trans Robot. 2020;36(4):1207–18. Article PubMed PubMed Central Google Scholar Baltrušaitis T, Ahuja C, Morency LP. Multimodal machine learning: a survey and taxonomy. IEEE ...
Language- driven temporal activity localization: A semantic match- ing reinforcement learning model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 334–343, 2019. 5 [40] Bo Xiong, Yannis Kalantidis, Deepti ...