An Active Exploration Method for Data Efficient Reinforcement Learning

An Active Exploration Method for Data Efficient Reinforcement Learning

Reinforcement learning (RL) constitutes an effective method of controlling dynamic systems without prior knowledge. One of the most important and difficult problems in RL is the improvement of data efficiency. Probabilistic inference for learning control (PILCO) is a state-of-the-art data-efficient...

Full description

Bibliographic Details
Main Authors:	Zhao Dongfang, Liu Jiafeng, Wu Rui, Cheng Dansong, Tang Xianglong
Format:	Article
Language:	English
Published:	Sciendo 2019-06-01
Series:	International Journal of Applied Mathematics and Computer Science
Subjects:	reinforcement learning information entropy pilco data efficiency
Online Access:	https://doi.org/10.2478/amcs-2019-0026

Similar Items

Optimistic Sampling Strategy for Data-Efficient Reinforcement Learning
by: Dongfang Zhao, et al.
Published: (2019-01-01)

Sim-to-Real Transfer Reinforcement Learning for Position Control of Pneumatic Continuum Manipulator
by: Qiang Cheng, et al.
Published: (2023-01-01)

Active Exploration Deep Reinforcement Learning for Continuous Action Space with Forward Prediction
by: Dongfang Zhao, et al.
Published: (2024-01-01)

A Data-Efficient Training Method for Deep Reinforcement Learning
by: Wenhui Feng, et al.
Published: (2022-12-01)

Incentive temperature control for green colocation data centers via reinforcement learning
by: Wang, Rongrong, et al.
Published: (2024)

Crowd Evacuation Guidance Based on Combined Action Reinforcement Learning
by: Yiran Xue, et al.
Published: (2021-01-01)

Entropy-Aware Model Initialization for Effective Exploration in Deep Reinforcement Learning
by: Sooyoung Jang, et al.
Published: (2022-08-01)

Reinforcement learning based methodology for energy-efficient resource allocation in cloud data centers
by: Thandar Thein, et al.
Published: (2020-12-01)

Cooperatively Improving Data Center Energy Efficiency Based on Multi-Agent Deep Reinforcement Learning
by: Ce Chi, et al.
Published: (2021-04-01)

Entropy Cross-Efficiency Model for Decision Making Units with Interval Data
by: Lupei Wang, et al.
Published: (2016-10-01)

An AUV-Assisted Data Gathering Scheme Based on Deep Reinforcement Learning for IoUT
by: Wentao Shi, et al.
Published: (2023-11-01)

Sample Efficient Reinforcement Learning Method via High Efficient Episodic Memory
by: Dujia Yang, et al.
Published: (2020-01-01)

Utilizing Skipped Frames in Action Repeats for Improving Sample Efficiency in Reinforcement Learning
by: Tung M. Luu, et al.
Published: (2022-01-01)

Data Efficient Reinforcement Learning for Integrated Lateral Planning and Control in Automated Parking System
by: Shaoyu Song, et al.
Published: (2020-12-01)

Deep Reinforcement Factorization Machines: A Deep Reinforcement Learning Model with Random Exploration Strategy and High Deployment Efficiency
by: Huaidong Yu, et al.
Published: (2022-05-01)

Exploration of network centrality in goal conditioned reinforcement learning
by: Sharma Divyansh
Published: (2024)

Real-Time Online Goal Recognition in Continuous Domains via Deep Reinforcement Learning
by: Zihao Fang, et al.
Published: (2023-10-01)

Exploring Knowledge Entropy in Organizations
by: Constantin BRATIANU
Published: (2019-07-01)

Data-Driven Robust Control Using Reinforcement Learning
by: Phuong D. Ngo, et al.
Published: (2022-02-01)

Learning State-Specific Action Masks for Reinforcement Learning
by: Ziyi Wang, et al.
Published: (2024-01-01)

Quantifying Information Content in Survey Data by Entropy
by: Nina Østerås, et al.
Published: (2010-01-01)

Information Loss Due to the Data Reduction of Sample Data from Discrete Distributions
by: Maryam Moghimi, et al.
Published: (2020-09-01)

Continual Reinforcement Learning for Quadruped Robot Locomotion
by: Sibo Gai, et al.
Published: (2024-01-01)

Reinforcement learning based energy-efficient internet-of-things video transmission
by: Yilin Xiao, et al.
Published: (2020-12-01)

Energy-Efficient Power Allocation and User Association in Heterogeneous Networks with Deep Reinforcement Learning
by: Chi-Kai Hsieh, et al.
Published: (2021-04-01)

Review of Model-Based Reinforcement Learning
by: ZHAO Tingting, KONG Le, HAN Yajie, REN Dehua, CHEN Yarui
Published: (2020-06-01)

Boosting Policy Learning in Reinforcement Learning via Adaptive Intrinsic Reward Regulation
by: Qian Zhao, et al.
Published: (2024-01-01)

Ranking DMUs by Comparing DEA Cross-Efficiency Intervals Using Entropy Measures
by: Tim Lu, et al.
Published: (2016-12-01)

On the Use of Quantum Reinforcement Learning in Energy-Efficiency Scenarios
by: Eva Andrés, et al.
Published: (2022-08-01)

An Entropy-Based Kernel Learning Scheme toward Efficient Data Prediction in Cloud-Assisted Network Environments
by: Xiong Luo, et al.
Published: (2016-07-01)

Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations
by: Francisco Martinez-Gil, et al.
Published: (2020-09-01)

Entropy-Based Behavioural Efficiency of the Financial Market
by: Emil Dinga, et al.
Published: (2021-10-01)

Efficient Elitist Cooperative Evolutionary Algorithm for Multi-Objective Reinforcement Learning
by: Dan Zhou, et al.
Published: (2023-01-01)

Optimized Feature Extraction for Sample Efficient Deep Reinforcement Learning
by: Yuangang Li, et al.
Published: (2023-08-01)

Non-Technical Loss Detection Using Deep Reinforcement Learning for Feature Cost Efficiency and Imbalanced Dataset
by: Jiyoung Lee, et al.
Published: (2022-01-01)

A Research on Manipulator-Path Tracking Based on Deep Reinforcement Learning
by: Pengyu Zhang, et al.
Published: (2023-07-01)

Learning to Have a Civil Aircraft Take Off under Crosswind Conditions by Reinforcement Learning with Multimodal Data and Preprocessing Data
by: Feng Liu, et al.
Published: (2021-02-01)

Learning a Diagnostic Strategy on Medical Data With Deep Reinforcement Learning
by: Mengxiao Zhu, et al.
Published: (2021-01-01)

Toward physics-guided safe deep reinforcement learning for green data center cooling control
by: Wang, Ruihang, et al.
Published: (2022)

Guaranteed hierarchical reinforcement learning
by: Ang, Riley Xile
Published: (2024)