Reinforcement learning, fast and slow

Cited by (673)

Items 501–600 of 673

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2. Multiple weak biases support adaptive choices without prior experience: a self-supervised strategy
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3. Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks
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4. Prediction in action: Toward an empirical science of active inference
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5. WMat algorithm based on Q-Learning algorithm in taxi-v2 game
   Fatemeh Esmaeily, Mohammad Reza Keyvanpour · 2020 · International Conference on Smart Cities, Internet of Things and Applications (SCIoT)
6. Meta-Learning
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7. RL-KDA: A K-degree Anonymity Algorithm Based on Reinforcement Learning
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8. Wie lernt Künstliche Intelligenz?
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9. Named Multipath Depth-First Search: An SDN-based Routing Strategy for Efficient Failure Handling and Content Delivery in NDN
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10. Transfer Reinforcement Learning Based on Gaussian Process Policy Reuse
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11. Statistical Machine-Learning Methods to Model Brain Plasticity
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12. Leveraging Machine Learning for Enhanced English Written Translation: Semantic Precision and Contextual Adaptation
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13. Towards sample-efficient policy learning with DAC-ML
    Ismael T. Freire, Adrián F. Amil, Vasiliki Vouloutsi, Paul F. M. J. Verschure · 2021 · Procedia Computer Science
14. Dynamic Gain Military Game Algorithm Based on Episodic Memory
    Jun He, Jun Jie Yang · 2021 · International Conference on Computer Engineering and Application (ICCEA)
15. Towards a Computational Cognitive Neuroscience Model of Creativity
    Hugo Chateau-Laurent, Frédéric Alexandre · 2021 · IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
16. Autonome Autos
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17. Deep Reinforcement Learning Based on Curriculum Learning for Drone Swarm Area Defense
    Miaoping Sun, Zequan Yang, Xunhua Dai, Xiaohong Nian, Haibo Wang, Hongyun Xiong · 2023 · Lecture notes in electrical engineering
18. Artificial intelligence in breast cancer: An opportunity for early diagnosis
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19. DYNAMIC PROGRAMMING FOR SOLVE THE INVENTORY MANAGEMENT PROBLEM IN LOGISTICS
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20. A convolutional neural-network framework for modelling auditory sensory cells and synapses
    Fotios Drakopoulos, Deepak Baby, Sarah Verhulst · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
21. Deep Reinforcement Learning with Symmetric Prior for Predictive Power Allocation to Mobile Users
    Jianyu Zhao, Chenyang Yang · 2021 · arXiv (Cornell University)
22. Efficient and robust multi-task learning in the brain with modular task primitives.
    Christian D. Márton, Guillaume Lajoie, Kanaka Rajan · 2021 · arXiv (Cornell University)
23. Successor Feature Neural Episodic Control
    David Emukpere, Xavier Alameda-Pineda, Chris Reinke · 2021 · arXiv (Cornell University)
24. Awesome-META+: Meta-Learning Research and Learning Platform
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25. Four attributes of intelligence, a thousand questions
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26. Opportunities in Neural Networks for Industry 4.0
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27. An Artificial Intelligence Copilot System Helps Reduce Mortality Rates of Hemodialysis Patients
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28. Cortical control of innate behavior from subcortical demonstration
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29. A Novel Framework for Human-like Reinforcement Learning: ARDNS-P with Piagetian Stages
    Umberto Gonçalves de Sousa · 2025 · Preprints.org
30. A Quantum-Enhanced Framework for Human-Like Reinforcement Learning: ARDNS-P-Quantum with Piagetian Stages
    Umberto Gonçalves de Sousa · 2025 · Preprints.org
31. ARDNS-FN-Quantum: A Quantum-Enhanced Reinforcement Learning Framework with Cognitive-Inspired Adaptive Exploration for Dynamic Environments
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32. Self-Learning AI for Adaptive Humanoid Robotics: Towards Generalized Autonomy
    Kushal Khemani · 2025
33. Why motor learning involves multiple systems: an algorithmic perspective
    Francesca Greenstreet, Jesse P. Geerts, Juan Álvaro Gallego, Claudia Clopath · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
34. Default Feature Representations of the Cognitive Map
    Armin Bazarjani, Payam Piray · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
35. Principles of human learning
    Binz, Marcel · 2002 · CRC Press eBooks
36. 特集「認知モデル研究の展開」の編集にあたって
    林 勇吾, 寺尾 敦 · 2019 · 認知科学
37. Unbiased Deep Reinforcement Learning: A General Training Framework for Existing and Future Algorithms
    Huihui Zhang, Wu Xin Huang · 2020 · arXiv (Cornell University)
38. Recommending in changing times
    Shruti Kunde, Mayank Mishra, Amey Pandit, Rekha Singhal, Manoj Karunakaran Nambiar, Gautam M. Shroff, Shashank Gupta · 2020 · ACM Conference on Recommender Systems (RecSys)
39. Habituation and goal-directed arbitration mechanisms and failures under partial observability
    Martí Sánchez-Fibla · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
40. Glue: Enhancing Compatibility and Flexibility of Reinforcement Learning Platforms by Decoupling Algorithms and Environments
    Xinhai Xu, Xianglong Li, Feng Zhangy, Tianlong Shen, Shuai Zhang, Hao Li · 2020 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
41. Measuring an adaptive change in human decision-making from AI: Application to evaluate changes after AlphaGo.
    Minkyu Shin, Minkyung Kim, Jin Kim · 2020 · arXiv (Cornell University)
42. Towards sample-efficient episodic control with DAC-ML
    Ismael T. Freire, Adrián F. Amil, Vasiliki Vouloutsi, Paul F. M. J. Verschure · 2020 · arXiv (Cornell University)
43. Modular reinforcement learning method for adaptable robotic arms
    Qiliang Chen · 2020
44. Automated End-to-End Management of the Deep Learning Lifecycle
    Gharib Gharibi · 2020 · MOspace Institutional Repository (University of Missouri)
45. A Step Towards a Reinforcement Learning De Novo Genome Assembler
    Kleber Padovani, Roberto Xavier, André C. P. L. F. de Carvalho, Anna Reali, Annie Château, Ronnie Cley de Oliveira Alves · 2021 · Research Square
46. Prefrontal Cortex
    Richard Edward Passingham · 2021 · Oxford University Press eBooks
47. Learning to Shape Rewards using a Game of Switching Controls.
    David Mguni, Jianhong Wang, Taher Jafferjee, Nicolas Perez-Nieves, Wenbin Song, Yaodong Yang, Feifei Tong, Hui Chen, Jiangcheng Zhu, Yali Du et al. · 2021 · arXiv (Cornell University)
48. Deciphering the contributions of episodic and working memories in increasingly complex decision tasks
    Snigdha Dagar, Frédéric Alexandre, Nicolas P. Rougier · 2021 · International Joint Conference on Neural Networks (IJCNN)
49. Attentive Relation Network for Object based Video Games
    Hangyu Deng, Jia Luo, Jinglu Hu · 2021 · International Joint Conference on Neural Networks (IJCNN)
50. Hierarchical, Discontinuous Agent Reinforcement Learning Rewards in Complex Military-Oriented Environments
    Charles Newton, Christopher A. Ballinger, Michael Sloma, Keith Brawner · 2022 · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
51. Reinforcement Learning for Multi-Scale Molecular Modeling
    Jun Zhang, Yao-Kun Lei, Yi Yang, Yi Qin Gao · 2020 · ChemRxiv
52. Faculty Opinions recommendation of Direct fit to nature: an evolutionary perspective on biological and artificial neural networks.
    Noam E. Ziv · 2021 · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
53. Strategic Earning on Tokenized Platforms via Model-based Decision Making
    Tianyi Li · 2022 · SSRN Electronic Journal
54. Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision
    Yong Bo Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li · 2021 · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
55. A tecnologia disruptiva das heurísticas sintéticas: uma reinvenção da memória
    Fernando Alberto Pozetti Filho · 2022 · Perspectiva Filosófica
56. Review: Applications of Machine Learning in Computer-Aided Drug Discovery — R0/PR1
    SM Bargeen Alam Turzo, Eric R. Hantz, Steffen Lindert · 2022 · QRB Discovery
57. Recommendation: Applications of Machine Learning in Computer-Aided Drug Discovery — R0/PR4
    SM Bargeen Alam Turzo, Eric R. Hantz, Steffen Lindert · 2022 · QRB Discovery
58. Review: Applications of Machine Learning in Computer-Aided Drug Discovery — R0/PR3
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59. Review: Applications of Machine Learning in Computer-Aided Drug Discovery — R0/PR2
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60. Recommendation: Applications of Machine Learning in Computer-Aided Drug Discovery — R1/PR5
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61. Recommendation: Applications of Machine Learning in Computer-Aided Drug Discovery — R2/PR6
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62. Supervised-Reinforcement Learning (SRL) Approach for Efficient Modular Path Planning
    Marawan Azmy Hebaish, Ahmed Hussein, Amr El Mougy · 2022 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
63. Deep Reinforcement Learning for Quantitative Finance: Time Series Forecasting using Proximal Policy Optimization
    David Chiumera · 2022
64. A picture of the mind
    Christopher Summerfield · 2022 · Oxford University Press eBooks
65. The language of thought
    Christopher Summerfield · 2022 · Oxford University Press eBooks
66. The control of memory
    Christopher Summerfield · 2022 · Oxford University Press eBooks
67. The nature of intelligence
    Christopher Summerfield · 2022 · Oxford University Press eBooks
68. The structure of knowledge
    Christopher Summerfield · 2022 · Oxford University Press eBooks
69. Copyright Page
    Christopher Summerfield · 2022 · Oxford University Press eBooks
70. Preface
    Christopher Summerfield · 2022 · Oxford University Press eBooks
71. Abbreviations
    Christopher Summerfield · 2022 · Oxford University Press eBooks
72. The problem of abstraction
    Christopher Summerfield · 2022 · Oxford University Press eBooks
73. Turing’s question
    Christopher Summerfield · 2022 · Oxford University Press eBooks
74. Моделирование поведения интеллектуальных агентов на основе методов машинного обучения в моделях конкуренции
    Alexander Anokhin, Парыгин Данила Сергеевич, Н.П. Садовникова, N.P. Sadovnikova, А.А. Финогеев, Alexander Gurtyakov · 2023 · Международный журнал Программные продукты и системы
75. Pattern Recognition Based on Variant Reinforcement Meta-learning
    Zeyang Zheng, Haiyong Chen, Shijie Wang, Ramya Radhakrishnan · 2023 · Lecture notes on data engineering and communications technologies
76. The selective serotonin reuptake inhibitor sertraline alters learning from aversive reinforcements in patients with depression: evidence from a randomized controlled trial
    Jolanda Malamud, Gemma Lewis, Michael Moutoussis, Larisa Duffy, Jessica Katherine Bone, Ramya Srinivasan, Glyn Lewis, Quentin J. M. Huys · 2023 · Research Square
77. Survival Decisions in a Multidimensional World
    Dean Mobbs, Toby Wise, Sarah M. Tashjian, Karl John Friston, Drew B. Headley · 2023
78. Peer Review #3 of "A novel artificial intelligence-based predictive analytics technique to detect skin cancer (v0.1)"
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79. Peer Review #1 of "A novel artificial intelligence-based predictive analytics technique to detect skin cancer (v0.1)"
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80. Peer Review #2 of "A novel artificial intelligence-based predictive analytics technique to detect skin cancer (v0.1)"
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81. Peer Review #2 of "A novel artificial intelligence-based predictive analytics technique to detect skin cancer (v0.2)"
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82. A New Optimal Design of Stable Feedback Control of Two-Wheel System Based on Reinforcement Learning
    Zhenghong Yu, Xuebin Zhu · 2023 · SAE International journal of sustainable transportation, energy, environment & policy
83. Determining Optimal Incentive Policy for Decentralized Distributed Systems Using Reinforcement Learning
    Elitsa Pankovska, Ashish Rajendra Sai, Harald Vranken · 2023 · IEEE International Conference on Blockchain and Cryptocurrency (ICBC)
84. The selective serotonin reuptake inhibitor sertraline alters learning from aversive reinforcements in patients with depression: evidence from a randomized controlled trial
    Jolanda Malamud, Gemma Lewis, Michael Moutoussis, Larisa Duffy, Jessica Katherine Bone, Ramya Srinivasan, Glyn Lewis, Quentin J. M. Huys · 2023
85. A step toward a reinforcement learning de novo genome assembler
    Kleber Padovani, Roberto Xavier, Rafael Cabral Borges, André C. P. L. F. de Carvalho, Anna Reali, Annie Château, Ronnie Cley de Oliveira Alves · 2021 · arXiv (Cornell University)
86. Contemporary Studies in Biological Sciences I
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87. More widespread and rigid neuronal representation of reward expectation underlies impulsive choices
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88. Sample-efficient reinforcement learning and its applications
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89. Credit Assignment: Challenges and Opportunities in Developing Human-like Learning Agents
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90. Machine Learning Opportunities in Flight Test: Preflight Checks
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91. Transfer learning for adaptable autonomy
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92. Screening Process Information Matters More Than Clinical Information: A Randomized Controlled Trial of Information Sharing on Cancer Screening Decision
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93. Management of Type 2 Diabetes -- Applications of Machine Learning and Electronic Medical Records-based Analytics
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94. SOMeL: Multi-Granular Optimized Framework for Digital Neuromorphic Meta-Learning
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95. АНАЛІТИЧНИЙ ОГЛЯД ПРОБЛЕМИ КОМУНІКАТИВНІ ВЗАЄМОДІЇ У ПСИХОЛОГІЇ: ЗАРУБІЖНИЙ ДИСКУРС
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96. Self-Evolution Policy Learning: Leveraging Basic Tasks to Complex Ones
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97. How Does Artificial Intelligence Learn?
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98. Grundlagen: KI, ML, DL, RPA und Co.
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99. Learning Proficient Behavior With Computational Agents in Engineering Configuration Design
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100. Concepts as an Interface
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