Reinforcement Learning: An Introduction
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- Opponent appetitive-aversive neural processes underlie predictive learning of pain reliefSeymour, Ben, O'Doherty, John P, Koltzenburg, Martin, Wiech, Katja, Frackowiak, Richard, Friston, Karl, Dolan, Raymond · 2005 · Nature Neuroscience
- Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City ServicesMehdi Mohammadi, Ala Al‐Fuqaha, Mohsen Guizani, Jun-Seok Oh · 2017 · IEEE Internet of Things Journal
- Go and no-go learning in reward and punishment: Interactions between affect and effectMarc Guitart‐Masip, Quentin J. M. Huys, Lluís Fuentemilla, Peter Dayan, Emrah Düzel, Raymond J. Dolan · 2012 · NeuroImage
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- Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian RespondingQuentin J. M. Huys, Roshan Cools, Martin Gölzer, Eva Friedel, Andreas Heinz, Raymond J. Dolan, Peter Dayan · 2011 · PLoS Computational Biology
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- Hippocampus leads ventral striatum in replay of place-reward informationLansink, Carien S., Goltstein, Pieter M., Lankelma, Jan V., McNaughton, Bruce L., Pennartz, Cyriel M. A. · 2009 · PLoS Biology
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- Reinforcement Learning Based Routing in Networks: Review and Classification of ApproachesZoubir Mammeri · 2019 · IEEE Access
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- Efficient computation of optimal actionsTodorov, Emanuel · 2009 · Proceedings of the National Academy of Sciences
- Efficient Architecture Search by Network TransformationHan Cai, Tianyao Chen, Weinan Zhang, Yong Hai Yu, Yi-Xiang Wang · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
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- Replay Comes of AgeFoster, David J. · 2017 · Annual Review of Neuroscience
- A modern Bayesian look at the multi‐armed banditSteven L. Scott · 2010 · Applied Stochastic Models in Business and Industry
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- A Multi-Agent Reinforcement Learning-Based Data-Driven Method for Home Energy ManagementXu, Xu, Jia, Youwei, Xu, Yan, Xu, Zhao, Chai, Songjian, Lai, Chun Sing · 2020 · IEEE Transactions on Smart Grid
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- Robust Adaptive Dynamic Programming and Feedback Stabilization of Nonlinear SystemsYu Jiang, Zhong‐Ping Jiang · 2014 · IEEE Transactions on Neural Networks and Learning Systems
- Quantum Reinforcement LearningDaoyi Dong, Chunlin Chen, Hanxiong Li, Tzyh-Jong Tarn · 2008 · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)
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- Re-evaluating the role of TPJ in attentional control: Contextual updating?Geng, Joy J., Vossel, Simone · 2013 · Neuroscience & Biobehavioral Reviews
- Toward a neurobiology of delusionsCorlett, P.R., Taylor, J.R., Wang, X.-J., Fletcher, P.C., Krystal, J.H. · 2010 · Progress in Neurobiology
- The Handbook of Behavior ChangeMartin S. Hagger, Linda D. Cameron, Kyra Hamilton, Nelli E. Hankonen, Taru Lintunen · 2020 · Cambridge University Press eBooks
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- Value Representations in the Primate Striatum during Matching BehaviorBrian Lau, Paul William Glimcher · 2008 · Neuron
- Flexible Cognitive Strategies during Motor LearningTaylor, Jordan A., Ivry, Richard B. · 2011 · PLoS Computational Biology
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- Cell assemblies in the cerebral cortexGünther Palm, Andreas Knoblauch, Florian Hauser, Almut Schüz · 2014 · Biological Cybernetics
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- Motor learning principles for neurorehabilitation2013 · Handbook of Clinical Neurology
- The Orbitofrontal Oracle: Cortical Mechanisms for the Prediction and Evaluation of Specific Behavioral OutcomesRudebeck, Peter H., Murray, Elisabeth A. · 2014 · Neuron
- Value-function reinforcement learning in Markov gamesMichael L. Littman · 2001 · Cognitive Systems Research
- Multi-Agent Reinforcement Learning: A Review of Challenges and ApplicationsLorenzo Canese, G.C. Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Marco Re, Sergio Spanò · 2021 · Applied Sciences
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- Prioritized memory access explains planning and hippocampal replayMattar, Marcelo G., Daw, Nathaniel D. · 2018 · Nature Neuroscience
- Dissociable effects of surprise and model update in parietal and anterior cingulate cortexJill X. O’Reilly, Urs Schüffelgen, Steven F. Cuell, Timothy E.J. Behrens, Rogier B. Mars, Matthew F. S. Rushworth · 2013 · Proceedings of the National Academy of Sciences
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- Cost-Based Scheduling of Scientific Workflow Application on Utility GridsJia Yu, Rajkumar Buyya, Chen‐Khong Tham · 2006
- Intelligent Multi-Microgrid Energy Management Based on Deep Neural Network and Model-Free Reinforcement LearningYan Du, Fangxing Fran Li · 2019 · IEEE Transactions on Smart Grid
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- Real-Time Neuroevolution in the NERO Video GameKenneth Owen Stanley, Bobby D. Bryant, Risto P Miikkulainen · 2005 · IEEE Transactions on Evolutionary Computation
- Neural networks: An overview of early research, current frameworks and new challengesAlberto Prieto, Beatriz Prieto, Eva M. Ortigosa, Eduardo Ros, Francisco J. Pelayo, Julio Ortega, Ignacio Rojas · 2016 · Neurocomputing
- Reinforcement Learning for RoboCup Soccer KeepawayPETER R. STONE, Richard S. Sutton, Gregory Kuhlmann · 2005 · Adaptive Behavior
- Robustness and generalizationHuan Xu, Shie Mannor · 2011 · Machine Learning
- Fairness-aware Learning through Regularization ApproachToshihiro Kamishima, Shotaro Akaho, Jun Sakuma · 2011 · IEEE ... International Conference on Data Mining workshops
- Intrinsic motivation, curiosity, and learningPierre‐Yves Oudeyer, Jacqueline P. Gottlieb, Manuel C. Lopes · 2016 · Progress in brain research
- Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural CircuitryRonald Keiflin, Patricia H. Janak · 2015 · Neuron
- A New Generation of Ai: A Review and Perspective on Machine Learning Technologies Applied to Smart Energy and Electric Power SystemsCheng, Lefeng, Yu, Tao · 2019 · International Journal of Energy Research
- Neural Networks for Real-Time Traffic Signal ControlDipti Srinivasan, Min Chee Choy, Ruey Long Cheu · 2006 · IEEE Transactions on Intelligent Transportation Systems
- Varieties of learning automata: an overviewM.A.L. Thathachar, P. SESHADRI SASTRY · 2002 · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
- An algorithmic perspective on imitation learningOsa, Takayuki, Pajarinen, Joni, Neumann, Gerhard, Bagnell, J. Andrew, Abbeel, Pieter, Peters, Jan · 2018 · Foundations and Trends in Robotics
- Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak SupervisionLiang Chen, Jonathan Berant, Quoc Viet Le, Kenneth D. Forbus, Ni Lao · 2017 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- Deep Reinforcement Learning for Resource Management in Network SlicingRongpeng Li, Zhifeng Zhao, Qi Sun, I Chih‐Lin, Chenyang Yang, Xianfu Chen, Minjian Zhao, Honggang Zhang · 2018 · IEEE Access
- Serotonin in Affective ControlDayan, Peter, Huys, Quentin J.M. · 2009 · Annual Review of Neuroscience
- An Algorithmic Perspective on Imitation LearningTakayuki Osa, Joni Pajarinen, Gerhard M. Neumann, James Andrew Bagnell, Pieter Abbeel, Jan Peters · 2018 · now publishers, Inc. eBooks
- Context dependence of the event‐related brain potential associated with reward and punishmentClay B. Holroyd, Jeff T. Larsen, Jonathan D. Cohen · 2004 · Psychophysiology
- Path planning and obstacle avoidance for AUV: A reviewChunxi Cheng, Qixin Sha, Bo He, Guangliang Li · 2021 · Ocean Engineering
- Distinct Roles of Rodent Orbitofrontal and Medial Prefrontal Cortex in Decision MakingJung Hoon Sul, Hoseok Kim, Namjung Huh, Daeyeol Lee, Min Whan Jung · 2010 · Neuron
- A Survey of Small-Scale Unmanned Aerial Vehicles: Recent Advances and Future Development TrendsGuowei Cai, Jorge M.M. Dias, Lakmal D. Seneviratne · 2014 · Unmanned Systems
- Reinforcement learning improves behaviour from evaluative feedbackMichael L. Littman · 2015 · Nature
- Batch Reinforcement LearningSascha Lange, Thomas Gabel, Martin Riedmiller · 2012 · Adaptation, learning, and optimization
- Why gamblers fail to win: A review of cognitive and neuroimaging findings in pathological gamblingRuth Janke van Holst, Wim van den Brink, Dick J. Veltman, Anna E. Goudriaan · 2009 · Neuroscience & Biobehavioral Reviews
- Anytime Point-Based Approximations for Large POMDPsJoëlle Pineau, G. Gordon, Sebastian Thrun · 2006 · Journal of Artificial Intelligence Research
- Precision MedicineMichael R. Kosorok, Eric B. Laber · 2019 · Annual Review of Statistics and Its Application
- Learning latent structure: carving nature at its jointsGershman, Samuel J, Niv, Yael · 2010 · Current Opinion in Neurobiology
- Effective reinforcement learning for mobile robotsWilliam D. Smart, Leslie Pack Kaelbling · 2003 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge ComputingXu, Jie, Chen, Lixing, Ren, Shaolei · 2017 · IEEE Transactions on Cognitive Communications and Networking
- A critical survey of agent-based wholesale electricity market modelsAnke Weidlich, Daniel J Veit · 2008 · Energy Economics
- Over the river, through the woods: cognitive maps in the hippocampus and orbitofrontal cortexAndrew M. Wikenheiser, Geoffrey M. Schoenbaum · 2016 · Nature reviews. Neuroscience
- Beyond the FRN: Broadening the time-course of EEG and ERP components implicated in reward processingJames E. Glazer, Nicholas J. Kelley, Narun Pornpattananangkul, Vijay Anand Mittal, Robin Nusslock · 2018 · International Journal of Psychophysiology
- A Review on Machine Learning and Deep Learning Perspectives of IDS for IoT: Recent Updates, Security Issues, and ChallengesAnkit Thakkar, Ritika Lohiya · 2020 · Archives of Computational Methods in Engineering
- Off-Policy Reinforcement Learning for $ H_\infty $ Control DesignBiao Luo, Huai‐Ning Wu, Tingwen Huang · 2014 · IEEE Transactions on Cybernetics
- A Hybrid Reinforcement Learning Approach to Autonomic Resource AllocationG. Tesauro, Nicholas K. Jong, R. Das, Mohamed N. Bennani · 2006 · IEEE International Conference on Autonomic Computing (ICAC)
- Model-based and model-free Pavlovian reward learning: Revaluation, revision, and revelationDayan, Peter, Berridge, Kent C. · 2014 · Cognitive, Affective, & Behavioral Neuroscience
- Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicleRenzong Lian, Jiankun Peng, Yuankai Wu, Huachun Tan, Hailong Zhang · 2020 · Energy
- Computational models of collective behaviorRobert L. Goldstone, Marco A. Janssen · 2005 · Trends in Cognitive Sciences
- Breast cancer detection using deep learning: Datasets, methods, and challenges aheadNusrat Mohi Ud Din, Rayees Ahmad Dar, Muzafar Rasool, Assif Assad · 2022 · Computers in Biology and Medicine
- Stochastic dynamic programming with factored representationsBoutilier, Craig, Dearden, Richard, Goldszmidt, Moisés · 2000 · Artificial Intelligence
- Multiobjective Reinforcement Learning: A Comprehensive OverviewChunming Liu, Xin Xu, Dewen Hu · 2015 · IEEE Transactions on Systems, Man, and Cybernetics: Systems
- Speed/accuracy trade-off between the habitual and the goal-directed processesKeramati, Mehdi, Dezfouli, Amir, Piray, Payam · 2011 · PLoS Computational Biology
- Traffic light control using deep policy‐gradient and value‐function‐based reinforcement learningSeyed Sajad Mousavi, Michael Schukat, Enda Howley · 2017 · IET Intelligent Transport Systems
- Social and monetary reward learning engage overlapping neural substratesLin, Alice, Adolphs, Ralph, Rangel, Antonio · 2012 · Social Cognitive and Affective Neuroscience
- Decentralized Stabilization for a Class of Continuous-Time Nonlinear Interconnected Systems Using Online Learning Optimal Control ApproachDerong Liu, Ding Wang, Hongliang Li · 2013 · IEEE Transactions on Neural Networks and Learning Systems
- A survey of Tactile Human–Robot InteractionsBrenna Argall, Aude Billard · 2010 · Robotics and Autonomous Systems
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