Reinforcement Learning: A Survey

Cited by (1,024)

Items 101–200 of 1,024

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2. Unmasking Clever Hans predictors and assessing what machines really learn
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3. Adaptive Neural Network Control of AUVs With Control Input Nonlinearities Using Reinforcement Learning
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4. Self-organization, free energy minimization, and optimal grip on a field of affordances
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5. Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities
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6. Sequence-Aware Recommender Systems
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7. Predictive maintenance enabled by machine learning: use cases and challenges in the automotive industry
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8. Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
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9. Data Collection in Wireless Sensor Networks with Mobile Elements
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10. The Role of Variability in Motor Learning
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11. Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva
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14. A Tabu-Search Hyperheuristic for Timetabling and Rostering
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15. Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving
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16. Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond
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17. Actor–critic models of the basal ganglia: new anatomical and computational perspectives
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18. Thinking, fast and slow? Some field experiments to reduce crime and dropout in Chicago
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19. Fine-Grained Image Analysis With Deep Learning: A Survey
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20. HUMAN–ROBOT COLLABORATION: A SURVEY
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21. A Survey of Machine Learning Techniques Applied to Self-Organizing Cellular Networks
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22. Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models
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23. Thermal energy storage technologies for concentrated solar power – A review from a materials perspective
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24. Reinforcement learning for control: Performance, stability, and deep approximators
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25. A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system
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26. A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks
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27. Artificial intelligence in recommender systems
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28. Reinforcement Learning and Its Applications in Modern Power and Energy Systems: A Review
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29. Prediction error in reinforcement learning: A meta-analysis of neuroimaging studies
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30. A review of hybrid renewable energy systems in mini-grids for off-grid electrification in developing countries
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31. FLAME—Fuzzy Logic Adaptive Model of Emotions
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32. Deep learning for cardiovascular medicine: a practical primer
    Chayakrit Krittanawong, Kipp W. Johnson, Robert S. Rosenson, Zhen Wang, Mehmet Aydar, Usman Baber, James K. Min, W.H. Wilson Tang, Jonathan L. Halperin, Sanjiv M. Narayan · 2019 · European Heart Journal
33. Dopamine cells respond to predicted events during classical conditioning: evidence for eligibility traces in the reward-learning network
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34. Reinforcement Learning Based Routing in Networks: Review and Classification of Approaches
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35. Bayesian inference in physics
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36. A computational substrate for incentive salience
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37. A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges
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38. Independent reinforcement learners in cooperative Markov games: a survey regarding coordination problems
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39. Intrinsically Motivated Reinforcement Learning: An Evolutionary Perspective
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40. Machine Learning for 5G/B5G Mobile and Wireless Communications: Potential, Limitations, and Future Directions
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41. Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review
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42. How is a motor skill learned? Change and invariance at the levels of task success and trajectory control
    Lior Shmuelof, John W. Krakauer, Pietro Mazzoni · 2012 · Journal of Neurophysiology
43. Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density
    Amy McGovern, Andrew G. Barto · 2001 · ScholarWorks@UMassAmherst (University of Massachusetts Amherst)
44. Artificial intelligence: foundations of computational agents
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45. If multi-agent learning is the answer, what is the question?
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46. Cloud computing service composition: A systematic literature review
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47. Collaborative intelligence: how human and artificial intelligence create value along the B2B sales funnel
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48. Artificial intelligence (AI) methods in optical networks: A comprehensive survey
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49. Probabilistic Algorithms in Robotics
    Sebastian Thrun · 2000
50. Information processing, dimensionality reduction and reinforcement learning in the basal ganglia
    Izhar Bar‐Gad, Genela Morris, Hagai Bergman · 2003 · Progress in Neurobiology
51. Learning task-state representations
    Niv, Yael · 2019 · Nature Neuroscience
52. Value-function reinforcement learning in Markov games
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53. Reinforcement learning in robotic applications: a comprehensive survey
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54. Real-Time Neuroevolution in the NERO Video Game
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55. Fuzzy inference system learning by reinforcement methods
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56. Planning, Learning and Coordination in Multiagent Decision Processes
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57. Unpacking the exploration–exploitation tradeoff: A synthesis of human and animal literatures.
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58. Layered Learning in Multiagent Systems
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59. Effective reinforcement learning for mobile robots
    William D. Smart, Leslie Pack Kaelbling · 2003 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
60. A Review of Android Malware Detection Approaches Based on Machine Learning
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61. Quantum Reinforcement Learning
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62. FOR LEAST-SQUARES POLICY ITERATION
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63. Relational Reinforcement Learning
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64. IMAGING VALUATION MODELS IN HUMAN CHOICE
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65. Reinforcement learning improves behaviour from evaluative feedback
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66. Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package
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67. Deep Generative Models in Engineering Design: A Review
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68. R-MAX: a general polynomial time algorithm for near-optimal reinforcement learning
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69. Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review
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70. Machine learning in aerodynamic shape optimization
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71. Off-Policy Reinforcement Learning for $ H_\infty $ Control Design
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72. Multiobjective Reinforcement Learning: A Comprehensive Overview
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73. Stochastic dynamic programming with factored representations
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74. Rule-interposing deep reinforcement learning based energy management strategy for power-split hybrid electric vehicle
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75. Mental health monitoring with multimodal sensing and machine learning: A survey
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76. Bayesian Q-learning
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78. Optimizing Dialogue Management with Reinforcement Learning: Experiments with the NJFun System
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79. Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing
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80. A Bayesian Framework for Reinforcement Learning
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81. A review of deep learning techniques used in agriculture
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82. A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies
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84. Model-Free Optimal Tracking Control via Critic-Only Q-Learning
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85. Changes in cognitive flexibility and hypothesis search across human life history from childhood to adolescence to adulthood
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86. Reinforcement Learning: A Tutorial Survey and Recent Advances
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87. Artificial Intelligence techniques: An introduction to their use for modelling environmental systems
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88. SEQUENTIAL ANALYSIS: SOME CLASSICAL PROBLEMS AND NEW CHALLENGES
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89. Distributed Algorithms for Learning and Cognitive Medium Access with Logarithmic Regret
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90. A unified framework for stochastic optimization
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91. Recent Advances in Hierarchical Reinforcement Learning
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92. Deliberation for autonomous robots: A survey
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93. Policy Shaping: Integrating Human Feedback with Reinforcement Learning
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94. Machine Learning in Healthcare: A Review
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95. Nomadic radio
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96. Game theory and neural basis of social decision making
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97. Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning
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98. Evolutionary Dynamics of Multi-Agent Learning: A Survey
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99. Learning agents for uncertain environments (extended abstract)
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100. Reinforcement Learning Approach for Optimal Distributed Energy Management in a Microgrid
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