Works matching DE "REINFORCEMENT learning"
Results: 5000
Dopamine neurons that inform Drosophila olfactory memory have distinct, acute functions driving attraction and aversion.
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- PLoS Biology, 2024, v. 22, n. 11, p. 1, doi. 10.1371/journal.pbio.3002843
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- Article
Decrease in decision noise from adolescence into adulthood mediates an increase in more sophisticated choice behaviors and performance gain.
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- PLoS Biology, 2024, v. 22, n. 11, p. 1, doi. 10.1371/journal.pbio.3002877
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- Article
On the perceived objectivity of some moral beliefs.
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- Philosophical Psychology, 2020, v. 33, n. 1, p. 23, doi. 10.1080/09515089.2019.1696454
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- Article
Modeling and control of COVID-19 disease using deep reinforcement learning method.
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- Medical & Biological Engineering & Computing, 2024, v. 62, n. 12, p. 3653, doi. 10.1007/s11517-024-03153-5
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- Article
Human locomotion with reinforcement learning using bioinspired reward reshaping strategies.
- Published in:
- 2021
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- Publication type:
- journal article
Author Index Volume 22 (2023).
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- International Journal of Information Technology & Decision Making, 2023, v. 22, n. 6, p. 2021, doi. 10.1142/S0219622023990018
- Publication type:
- Article
Analysis of Hyper-Parameters for AlphaZero-Like Deep Reinforcement Learning.
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- International Journal of Information Technology & Decision Making, 2023, v. 22, n. 2, p. 829, doi. 10.1142/S0219622022500547
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- Article
Pricing Strategies for Competing Adaptive Retailers Facing Complex Consumer Behavior: Agent-based Model.
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- International Journal of Information Technology & Decision Making, 2019, v. 18, n. 6, p. 1909, doi. 10.1142/S021962201950038X
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- Article
Editor's Introduction.
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- International Journal of Information Technology & Decision Making, 2019, v. 18, n. 6, p. 1751, doi. 10.1142/S0219622019010065
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- Publication type:
- Article
Directed Exploration in Black-Box Optimization for Multi-Objective Reinforcement Learning.
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- International Journal of Information Technology & Decision Making, 2019, v. 18, n. 3, p. 1045, doi. 10.1142/S0219622019500093
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- Publication type:
- Article
A Proactive Decision Support System for Online Event Streams.
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- International Journal of Information Technology & Decision Making, 2018, v. 17, n. 6, p. 1891, doi. 10.1142/S0219622018500463
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- Publication type:
- Article
REINFORCEMENT LEARNING FOR DECISION-MAKING IN A BUSINESS SIMULATOR.
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- International Journal of Information Technology & Decision Making, 2012, v. 11, n. 5, p. 935, doi. 10.1142/S0219622012500277
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- Article
A new statistical approach to customer classification and load profiling.
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- Ingeniería y Desarrollo, 2020, v. 38, n. 1, p. 32
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- Publication type:
- Article
Kommt der künstliche Physiker?: Künstliche neuronale Netze in der Physik.
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- Physik in Unserer Zeit, 2019, v. 50, n. 5, p. 220, doi. 10.1002/piuz.201901549
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- Publication type:
- Article
Classification with costly features as a sequential decision-making problem.
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- Machine Learning, 2020, v. 109, n. 8, p. 1587, doi. 10.1007/s10994-020-05874-8
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- Publication type:
- Article
Foreword: special issue for the journal track of the 11th Asian Conference on Machine Learning (ACML 2019).
- Published in:
- 2020
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- Publication type:
- Editorial
Skill-based curiosity for intrinsically motivated reinforcement learning.
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- Machine Learning, 2020, v. 109, n. 3, p. 493, doi. 10.1007/s10994-019-05845-8
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- Publication type:
- Article
Introduction to the special issue for the ECML PKDD 2019 journal track.
- Published in:
- 2019
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- Publication type:
- Editorial
Compatible natural gradient policy search.
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- Machine Learning, 2019, v. 108, n. 8/9, p. 1443, doi. 10.1007/s10994-019-05807-0
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- Publication type:
- Article
TD-regularized actor-critic methods.
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- Machine Learning, 2019, v. 108, n. 8/9, p. 1467, doi. 10.1007/s10994-019-05788-0
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- Publication type:
- Article
Bayesian optimistic Kullback–Leibler exploration.
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- Machine Learning, 2019, v. 108, n. 5, p. 765, doi. 10.1007/s10994-018-5767-4
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- Publication type:
- Article
An online prediction algorithm for reinforcement learning with linear function approximation using cross entropy method.
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- Machine Learning, 2018, v. 107, n. 8-10, p. 1385, doi. 10.1007/s10994-018-5727-z
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- Publication type:
- Article
Offline reinforcement learning with task hierarchies.
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- Machine Learning, 2017, v. 106, n. 9-10, p. 1569, doi. 10.1007/s10994-017-5650-8
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- Publication type:
- Article
Offline reinforcement learning with task hierarchies.
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- Machine Learning, 2017, v. 106, n. 9-10, p. 1569, doi. 10.1007/s10994-017-5650-8
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- Publication type:
- Article
Generalized exploration in policy search.
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- Machine Learning, 2017, v. 106, n. 9-10, p. 1705, doi. 10.1007/s10994-017-5657-1
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- Publication type:
- Article
Variance-constrained actor-critic algorithms for discounted and average reward MDPs.
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- Machine Learning, 2016, v. 105, n. 3, p. 367, doi. 10.1007/s10994-016-5569-5
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- Publication type:
- Article
Probabilistic inference for determining options in reinforcement learning.
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- Machine Learning, 2016, v. 104, n. 2-3, p. 337, doi. 10.1007/s10994-016-5580-x
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- Publication type:
- Article
Regularized feature selection in reinforcement learning.
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- Machine Learning, 2015, v. 100, n. 2-3, p. 655, doi. 10.1007/s10994-015-5518-8
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- Publication type:
- Article
Policy gradient in Lipschitz Markov Decision Processes.
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- Machine Learning, 2015, v. 100, n. 2-3, p. 255, doi. 10.1007/s10994-015-5484-1
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- Publication type:
- Article
Preference-based reinforcement learning: evolutionary direct policy search using a preference-based racing algorithm.
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- Machine Learning, 2014, v. 97, n. 3, p. 327, doi. 10.1007/s10994-014-5458-8
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- Article
Interactive relational reinforcement learning of concept semantics.
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- Machine Learning, 2014, v. 94, n. 2, p. 169, doi. 10.1007/s10994-013-5344-9
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- Publication type:
- Article
A reinforcement learning approach to autonomous decision-making in smart electricity markets.
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- Machine Learning, 2013, v. 92, n. 1, p. 5, doi. 10.1007/s10994-013-5340-0
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- Publication type:
- Article
Minimax PAC bounds on the sample complexity of reinforcement learning with a generative model.
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- Machine Learning, 2013, v. 91, n. 3, p. 325, doi. 10.1007/s10994-013-5368-1
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- Publication type:
- Article
TEXPLORE: real-time sample-efficient reinforcement learning for robots.
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- Machine Learning, 2013, v. 90, n. 3, p. 385, doi. 10.1007/s10994-012-5322-7
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- Article
Preference-based reinforcement learning: a formal framework and a policy iteration algorithm.
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- Machine Learning, 2012, v. 89, n. 1-2, p. 123, doi. 10.1007/s10994-012-5313-8
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- Article
Sequential approaches for learning datum-wise sparse representations.
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- Machine Learning, 2012, v. 89, n. 1-2, p. 87, doi. 10.1007/s10994-012-5306-7
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- Publication type:
- Article
Temporal-difference search in computer Go.
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- Machine Learning, 2012, v. 87, n. 2, p. 183, doi. 10.1007/s10994-012-5280-0
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- Article
Model selection in reinforcement learning.
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- Machine Learning, 2011, v. 85, n. 3, p. 299, doi. 10.1007/s10994-011-5254-7
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- Article
An asymptotically optimal policy for finite support models in the multiarmed bandit problem.
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- Machine Learning, 2011, v. 85, n. 3, p. 361, doi. 10.1007/s10994-011-5257-4
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- Article
Policy search for motor primitives in robotics.
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- Machine Learning, 2011, v. 84, n. 1-2, p. 171, doi. 10.1007/s10994-010-5223-6
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- Article
Empirical evaluation methods for multiobjective reinforcement learning algorithms.
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- Machine Learning, 2011, v. 84, n. 1-2, p. 51, doi. 10.1007/s10994-010-5232-5
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- Publication type:
- Article
Informing sequential clinical decision-making through reinforcement learning: an empirical study.
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- Machine Learning, 2011, v. 84, n. 1-2, p. 109, doi. 10.1007/s10994-010-5229-0
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- Article
The first learning track of the international planning competition.
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- Machine Learning, 2011, v. 84, n. 1-2, p. 81, doi. 10.1007/s10994-011-5234-y
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- Article
Reinforcement learning in feedback control.
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- Machine Learning, 2011, v. 84, n. 1-2, p. 137, doi. 10.1007/s10994-011-5235-x
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- Article
On the analysis and design of software for reinforcement learning, with a survey of existing systems.
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- Machine Learning, 2011, v. 84, n. 1-2, p. 7, doi. 10.1007/s10994-011-5237-8
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- Publication type:
- Article
Introduction to the special issue on empirical evaluations in reinforcement learning.
- Published in:
- 2011
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- Publication type:
- Editorial
Characterizing reinforcement learning methods through parameterized learning problems.
- Published in:
- Machine Learning, 2011, v. 84, n. 1-2, p. 205, doi. 10.1007/s10994-011-5251-x
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- Publication type:
- Article
Learning to compete, coordinate, and cooperate in repeated games using reinforcement learning.
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- Machine Learning, 2011, v. 82, n. 3, p. 281, doi. 10.1007/s10994-010-5192-9
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- Publication type:
- Article
Knows what it knows: a framework for self-aware learning.
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- Machine Learning, 2011, v. 82, n. 3, p. 399, doi. 10.1007/s10994-010-5225-4
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- Article
Improving reinforcement learning by using sequence trees.
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- Machine Learning, 2010, v. 81, n. 3, p. 283, doi. 10.1007/s10994-010-5182-y
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- Publication type:
- Article