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Research article

First published 2014-10

Learning by appraising: an emotion-based approach to intrinsic reward design

Pedro Sequeira, Francisco S Melo, Ana Paiva

Adaptive Behavior

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Research article

First published 2024-4

Active preference-based Gaussian process regression for reward learning and optimization

Erdem Bıyık, Nicolas Huynh, Mykel J. Kochenderfer [...]

The International Journal of Robotics Research

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Research article

First published 2024-3

Managing Coins for Depository Institutions in Coin Supply Chains for Improved Circulation

Yiwei Huang, Yunxia Zhu, Mayukh Majumdar [...]

Production and Operations Management

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Research article

First published 2020-12

Risk‐Sensitive Markov Decision Processes with Combined Metrics of Mean and Variance

Li Xia

Production and Operations Management

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Research article

First published 2022-05

Designing internal innovation contests

Lakshminarayana Nittala, Sanjiv Erat, Vish Krishnan

Production and Operations Management

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Research article

First published 2000-12

COMBINED PRODUCTION AND MAINTENANCE SCHEDULING FOR A MULTIPLE‐PRODUCT,SINGLE‐ MACHINE PRODUCTION SYSTEM

THOMAS W. SLOAN, J. GEORGE SHANTHIKUMAR

Production and Operations Management

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Research article

First published 2019-12

System-Level Optimization of Multi-Modal Transportation Networks for Energy Efficiency using Personalized Incentives: Formulation,Implementation,and Performance

Andrea Araldo, Song Gao, Ravi Seshadri [...]

Transportation Research Record: Journal of the Transportation Research Board

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Research article

First published 2015-5

A model-based markovian context-dependent reinforcement learning approach for neurobiologically plausible transfer of experience

Oussama H. Hamid

International Journal of Hybrid Intelligent Systems

Open access

Research article

First published 2014-4

Optimal Control of Epidemic Routing in Delay Tolerant Networks with Selfish Behaviors

Shengze Hu, Weidong Bao, Bin Ge [...]

International Journal of Distributed Sensor Networks

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Research article

First published 2020-09-17

On the use of the policy gradient and Hessian in inverse reinforcement learning

Alberto Maria Metelli, Matteo Pirotta, Marcello Restelli

Intelligenza Artificiale

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