Leveraging deep generative models for non-parametric distributions in reinforcement learning

Leveraging deep generative models for non-parametric distributions in reinforcement learning

This thesis explores the use of deep generative models to enhance distribution representations in reinforcement learning (RL), leading to improved exploration, stability, and performance. It focuses on two roles of distributions in RL: policy distributions and action distributions. For policy distri...

Saved in:

書目詳細資料
主要作者:	Tang, Shi Yuan
其他作者:	Zhang Jie
格式:	Thesis-Doctor of Philosophy
語言:	English
出版:	Nanyang Technological University 2024
主題:	Computer and Information Science
在線閱讀:	https://hdl.handle.net/10356/173455
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

相似書籍

Deep reinforcement learning for complex environment 1
由: Goh, Peng Aik
出版: (2024)

Deep reinforcement learning for optimal resource allocation (II)
由: Uday, Nihal Arya
出版: (2024)

Deep reinforcement learning for resource allocation in wireless networks
由: Kunasilan, Pravind Kummar
出版: (2025)

SimpleNPKL: Simple Non-Parametric Kernel Learning
由: ZHUANG, Jinfeng, et al.
出版: (2009)

Deep learning for human motion generation
由: Gu, Chenyang
出版: (2024)

AI techniques in CFD: leveraging physical priors with deep learning to improve on numerical solvers
由: Jessica, Loh Sher En
出版: (2025)

Leveraging multi-agent reinforcement learning for digital transformation in supply chain inventory optimization
由: Zhang, Bo, et al.
出版: (2025)

Ensemble-based deep reinforcement learning for vehicle routing problems under distribution shift
由: JIANG, Yuan, et al.
出版: (2023)

Deep reinforcement learning for autonomous cyber operation
由: Yong, Hou Zhong
出版: (2024)

Leveraging deep learning techniques to secure software development
由: Siow, Jing Kai
出版: (2022)

Deep reinforcement learning for table tennis
由: Lim, Chien Her
出版: (2025)

Deep learning for biomedical event extraction
由: Yuan, Haohan
出版: (2025)

Music generation using deep learning
由: Harish Vasanth
出版: (2025)

Music generation with deep learning techniques
由: Chong, Yi An
出版: (2024)

Meta-learning for deep reinforcement learning
由: Poon, Jun Yaw
出版: (2021)

Collaborative air-ground search with deep reinforcement learning
由: Lim, You Xuan
出版: (2024)

Watermarking deep reinforcement learning
由: Sim, Ming Jie
出版: (2021)

Interpretable fuzzy deep transformer neural network and multi-agent reinforcement learning portfolio rebalancing
由: Priya Rekah D/O M Ravi Kumar
出版: (2025)

Decision-making of autonomous driving based on reinforcement learning
由: Shi, Max Ziyi
出版: (2024)

Evaluation of adversarial attacks against deep learning models
由: Chua, Wenjun
出版: (2024)

Mobile robots autonomous exploration through deep reinforcement learning
由: Yin, Hanqiu
出版: (2024)

Bias in the age of generative AI: a deep dive into autoregressive model fairness
由: Ng, Darren Joon Kai
出版: (2024)

Deep learning techniques for robust non-cooperative spectrum sensing in cognitive radio networks
由: Su, Zhengyang
出版: (2025)

Goal modelling for deep reinforcement learning agents
由: Leung, Jonathan, et al.
出版: (2022)

An enhanced deep reinforcement learning ensemble empowered by large language model
由: Li, Xinyi
出版: (2024)

Adversarial robustness of deep reinforcement learning
由: Qu, Xinghua
出版: (2022)

Model-driven smart contract generation leveraging pretrained large language models
由: Jiang, Qinbo
出版: (2024)

Deep learning for image processing and restoration
由: Zhang, Heyi
出版: (2024)

Music generation with deep learning techniques
由: Low, Paul Solomon Si En
出版: (2024)

Reinforcement learning-based target grasping for low cost robotic arm
由: Yuan, Weibin
出版: (2024)

Non-Parametric Stochastic Autoencoder Model for Anomaly Detection
由: Alampay, Raphael B, et al.
出版: (2022)

Distributed deep reinforcement learning-based spectrum and power allocation for heterogeneous networks
由: Yang, Helin, et al.
出版: (2023)

Leveraging global resources: A distributed process maturity framework for software product development
由: RAMASUBBU, Narayan, et al.
出版: (2005)

Deep-attack over the deep reinforcement learning
由: Li, Yang, et al.
出版: (2022)

Music generation with deep learning techniques
由: Zhou, Yuxuan
出版: (2024)

Secure medical chatbot: leveraging encryption for patient data privacy
由: Oh, Terence Yuan Zhang
出版: (2024)

Image restoration and representation with deep generative models
由: Wang, Yufei
出版: (2025)

Deep reinforcement learning for real world problems
由: Wee, Andrew Chin Ho
出版: (2022)

Deep reinforcement learning for optimal resource allocation
由: Ng, Steffi Si Yu
出版: (2022)

Deep learning for defect detection
由: Ho, Juliet Li Chew
出版: (2024)