Top 13+ H-dqn hay nhất
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1.Gmargo11/hDQN: Implementation Of Hierarchical Deep Q ... - GitHub
hDQN. Replication of the first experiment of Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation (Kulkarni ...
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2.Integrating Temporal Abstraction And Intrinsic Motivation - ArXiv
20 thg 4, 2016 · h-DQN allows for flexible goal specifications, such as functions over entities and relations. This provides an efficient space for exploration ...
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3.【分层强化学习】H-DQN：Hierarchical Deep Reinforcement Learning
【分层强化学习】H-DQN：Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction阅读笔记 ... 稀疏反馈（sparse feedback）是目前强化学习领域一个 ...
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4.【强化学习算法15】h-DQN - 知乎专栏
8 thg 10, 2018 · 【强化学习算法15】h-DQN · 原文传送门： · 特色： · 分类： · 过程： · 算法： · 这个工作有哪些不足之处？
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5.[PDF] Hierarchical Deep Reinforcement Learning - GitHub Pages
hand-designed. h-DQN can learn exploration in an emergent fashion. ... standard DQN neural networks in an actor-critic format.
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6.Convergence Of The H-DQN Method At Different Learning Rates.
Download scientific diagram | Convergence of the H-DQN method at different learning rates. from publication: The UAV Trajectory Optimization for Data ...
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7.Architecture Of Structural Unit In H-DQN. | Download Scientific Diagram
we obtain the general structure of H-DQN. From now on, we shall focus on a structural unit of H-DQN (Fig.3) since the network topology and trading process ...
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8.[PDF] Integrating Temporal Abstraction And Intrinsic Motivation - CORE
work that integrates deep reinforcement learning with hierarchical action-value functions (h-DQN), where the top-level module learns a policy over options ...
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9.[PDF] Multi-Agent Deep Q Network To Enhance The Reinforcement ... - MDPI
30 thg 3, 2022 · Keywords: reinforcement learning; Q learning; DQN (Deep Q Networks); HDQN (Hierarchical. DQN); NDQN (Multi-Agent DQN); delayed reward system ...
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10.Hierarchical Deep Reinforcement Learning Based Dynamic RAN ...
In this paper, we tackle RAN slicing problem in 5G vehicle-to-everything (V2X) communications and present h-DQN based Soft Slicing (HSS) method for ...
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11.[PDF] CS 229 Fall 2017
Analyze performance of hDQN against baseline on Montezuma's Revenge ... Baseline: Deep Q-Network (DQN), Asynchronous Advantage. Actor Critic (A3C).
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12.Integrating Temporal Abstraction And Intrinsic Motivation
We present hierarchical-DQN (h-DQN), a framework to integrate hierarchical action-value functions, operating at different temporal scales, with goal-driven ...
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13.[PDF] Deep Reinforcement Learning With Double Q-Learning
recent DQN algorithm, which combines Q-learning with a ... vski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King,. D. Kumaran, D. Wierstra, ...
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