Get started
Keyword

reward function design

Description: The specification of reward signals that guide an agent’s behavior, particularly in reinforcement learning and related control applications.
OpenAlex ID: keywords/reward-function-design
On the Folly of Rewarding A, While Hoping for B.
1975 · S. Kerr · Academy of Management Journal · 1,581
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning
2017 · Wenhan Xiong, Thien Hoang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 859
PDF
Deep Reinforcement Learning: An Overview
2017 · Li, Yuxi · arXiv (Cornell University) · 762
PDF
Learning to Drive in a Day
2019 · Alex Kendall, Jeffrey Hawke, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 692
PDF
Emergence of Locomotion Behaviours in Rich Environments
2017 · Heess, Nicolas, TB, Dhruva, et al. · arXiv (Cornell University) · 657
PDF
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles
2020 · Szilard Aradi · IEEE Transactions on Intelligent Transportation Systems · 642
PDF
Deep-Learning-Enhanced Human Activity Recognition for Internet of Healthcare Things
2020 · Xiaokang Zhou, Wei Liang, et al. · IEEE Internet of Things Journal · 556
Spectrum Sharing in Vehicular Networks Based on Multi-Agent Reinforcement Learning
2019 · Le Liang, Hao Ye, et al. · IEEE Journal on Selected Areas in Communications · 555
PDF
An Application of Reinforcement Learning to Aerobatic Helicopter Flight
2007 · Pieter Abbeel, Adam Coates, et al. · The MIT Press eBooks · 550
Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver
2017 · Sunehag, Peter, Lever, Guy, et al. · arXiv (Cornell University) · 490
PDF
Deep Reinforcement Learning for Unsupervised Video Summarization With Diversity-Representativeness Reward
2018 · Kaiyang Zhou, Yu Qiao, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 486
PDF
Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving
2020 · Meixin Zhu, Yinhai Wang, et al. · Transportation Research Part C Emerging Technologies · 468
PDF
PressLight
2019 · Hua Wei, Chacha Chen, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 423
PDF
Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control
2020 · Chacha Chen, Hua Wei, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 421
Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
2017 · Guimaraes, Gabriel Lima, Sanchez-Lengeling, Benjamin, et al. · arXiv (Cornell University) · 419
PDF
Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective
2010 · Satinder Singh, Richard L. Lewis, et al. · IEEE Transactions on Autonomous Mental Development · 417
Reward Functions for Accelerated Learning
1994 · Maja J Mataric · Elsevier eBooks · 413
Large-Scale Study of Curiosity-Driven Learning
2018 · Burda, Yuri, Edwards, Harri, et al. · arXiv (Cornell University) · 401
PDF
Outracing champion Gran Turismo drivers with deep reinforcement learning
2022 · Peter R. Wurman, Samuel Barrett, et al. · Nature · 371
Application of deep reinforcement learning to intrusion detection for supervised problems
2019 · Manuel Lopez-Martin, Belen Carro, et al. · Expert Systems with Applications · 346
A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field
2021 · Lingyu Li, Defeng Wu, et al. · Applied Ocean Research · 325
Path Planning Based on Deep Reinforcement Learning for Autonomous Underwater Vehicles Under Ocean Current Disturbance
2022 · Zhenzhong Chu, Fulun Wang, et al. · IEEE Transactions on Intelligent Vehicles · 319
A reinforcement learning approach to parameter estimation in dynamic job shop scheduling
2017 · Jamal Shahrabi, Mohammad Amin Adibi, et al. · Computers & Industrial Engineering · 314
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
2017 · Jiang, Zhengyao, Xu, Dixing, et al. · RePEc: Research Papers in Economics · 309
PDF
Distributed Energy-Efficient Multi-UAV Navigation for Long-Term Communication Coverage by Deep Reinforcement Learning
2019 · Chi Harold Liu, Xiaoxin Ma, et al. · IEEE Transactions on Mobile Computing · 302
Works count: 9,914
Citation count: 97,830
Year
Topic
Type