reinforcement learning model for energy storage optimization Search Results


reinforcement learning rl models fit behavior  (MathWorks Inc)
94
MathWorks Inc reinforcement learning rl models fit behavior
(A) <t>Reinforcement</t> schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).
Reinforcement Learning Rl Models Fit Behavior, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/pmc06690806-119-22-10?v=MathWorks+Inc
Average 94 stars, based on 1 article reviews
reinforcement learning rl models fit behavior - by Bioz Stars, 2026-07
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generative model  (Insilico Medicine)
86
Insilico Medicine generative model
Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified <t>generative</t> tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.
Generative Model, supplied by Insilico Medicine, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/pmc12732431-51-8-3?v=Insilico+Medicine
Average 86 stars, based on 1 article reviews
generative model - by Bioz Stars, 2026-07
86/100 stars
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deep reinforcement learning model  (IEEE Access)
90
IEEE Access deep reinforcement learning model
Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified <t>generative</t> tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.
Deep Reinforcement Learning Model, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/10__1007_slash_s10462___024___10706___5-616-4-12?v=IEEE+Access
Average 90 stars, based on 1 article reviews
deep reinforcement learning model - by Bioz Stars, 2026-07
90/100 stars
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reinforcement learning model  (SoftMax Inc)
90
SoftMax Inc reinforcement learning model
Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified <t>generative</t> tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.
Reinforcement Learning Model, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/pmc03419784-674-45-44?v=SoftMax+Inc
Average 90 stars, based on 1 article reviews
reinforcement learning model - by Bioz Stars, 2026-07
90/100 stars
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reinforcement learning model gentrl  (Insilico Medicine)
86
Insilico Medicine reinforcement learning model gentrl
Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified <t>generative</t> tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.
Reinforcement Learning Model Gentrl, supplied by Insilico Medicine, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/10__1016_slash_j__apsb__2025__07__038-436-4-10?v=Insilico+Medicine
Average 86 stars, based on 1 article reviews
reinforcement learning model gentrl - by Bioz Stars, 2026-07
86/100 stars
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reinforcement learning  (Abbott Laboratories)
86
Abbott Laboratories reinforcement learning
Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified <t>generative</t> tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.
Reinforcement Learning, supplied by Abbott Laboratories, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/10__1017_slash_s0140525x09000946-906-10-14?v=Abbott+Laboratories
Average 86 stars, based on 1 article reviews
reinforcement learning - by Bioz Stars, 2026-07
86/100 stars
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reinforcement learning models  (Siemens AG)
90
Siemens AG reinforcement learning models
Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified <t>generative</t> tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.
Reinforcement Learning Models, supplied by Siemens AG, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/10__1016_slash_j__isci__2025__112900-322-1-0?v=Siemens+AG
Average 90 stars, based on 1 article reviews
reinforcement learning models - by Bioz Stars, 2026-07
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reinforcement learning model  (Wolters Kluwer Health)
86
Wolters Kluwer Health reinforcement learning model
Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified <t>generative</t> tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.
Reinforcement Learning Model, supplied by Wolters Kluwer Health, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/10__34067_slash_kid__0000001212-155-27-2?v=Wolters+Kluwer+Health
Average 86 stars, based on 1 article reviews
reinforcement learning model - by Bioz Stars, 2026-07
86/100 stars
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reinforcement learning model  (Amomed Pharma GmbH)
90
Amomed Pharma GmbH reinforcement learning model
Summary of included studies.
Reinforcement Learning Model, supplied by Amomed Pharma GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/pmc07390703-20-40-48?v=Amomed+Pharma+GmbH
Average 90 stars, based on 1 article reviews
reinforcement learning model - by Bioz Stars, 2026-07
90/100 stars
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softmax-sa  (SoftMax Inc)
90
SoftMax Inc softmax-sa
Summary of included studies.
Softmax Sa, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/reinforcement+learning+model+for+energy+storage+optimization/10__1109_slash_tcds__2019__2924724-358-2-27?v=SoftMax+Inc
Average 90 stars, based on 1 article reviews
softmax-sa - by Bioz Stars, 2026-07
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Image Search Results


(A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).

Journal: Cognitive, affective & behavioral neuroscience

Article Title: Neurocomputational mechanisms of adaptive learning in social exchanges

doi: 10.3758/s13415-019-00697-0

Figure Lengend Snippet: (A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).

Article Snippet: We used the Variational Bayes Approach (VBA) toolbox implemented in MATLAB ( Daunizeau, Adam, & Rigoux, 2014 ) to test how four reinforcement learning (RL) models fit behavior (likelihood of sharing).

Techniques: Blocking Assay

(A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).

Journal: Cognitive, affective & behavioral neuroscience

Article Title: Neurocomputational mechanisms of adaptive learning in social exchanges

doi: 10.3758/s13415-019-00697-0

Figure Lengend Snippet: (A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).

Article Snippet: We used the Variational Bayes Approach (VBA) toolbox implemented in MATLAB ( Daunizeau, Adam, & Rigoux, 2014 ) to test how four reinforcement learning (RL) models fit behavior (likelihood of sharing).

Techniques:

Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified generative tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.

Journal: International Journal of Molecular Sciences

Article Title: Designing Novel Compound Candidates Against SARS-CoV-2 Using Generative Deep Neural Networks and Cheminformatics

doi: 10.3390/ijms262412017

Figure Lengend Snippet: Flowchart. Tc: Tanimoto Coefficient. FCFC_4: Count vector form of FCFP4. mGENTRL: Modified generative tensorial reinforcement learning. SARS-CoV-2: Severe Acute Respiratory Syndrome Coronavirus 2. RdRp: RNA-dependent RNA polymerase. ADMET: Absorption, distribution, metabolism, excretion, and toxicity.

Article Snippet: In September 2019, Insilico Medicine released a deep generative model (Generative tensorial reinforcement learning, GENTRL), a deep learning method for performing de novo drug design [ ].

Techniques: Plasmid Preparation, Modification

Summary of included studies.

Journal: Surgery

Article Title: Decision Analysis and Reinforcement Learning in Surgical Decision-Making

doi: 10.1016/j.surg.2020.04.049

Figure Lengend Snippet: Summary of included studies.

Article Snippet: Komorowski 45 , Machine learning , Retrospective review , Patients admitted to ICU with sepsis , 96,156 , A reinforcement learning model recommended intravenous fluid and vasopressor strategies, mortality was lowest when decisions made by clinicians matched recommendations from the reinforcement learning model , NIHR, EPSRC, Orion Corp, Amomed Pharma, Ferring Pharma, Tenax Therapeutics, Baxter, Bristol-Mysers Squibb, GSK, HCA International, Philips Healthcare, Fresenius-KABI.

Techniques: Diagnostic Assay, Biomarker Discovery, Clinical Proteomics, Functional Assay

The unique strengths and weaknesses of decision analysis and reinforcement learning suggest complementary roles in augmenting clinical reasoning.

Journal: Surgery

Article Title: Decision Analysis and Reinforcement Learning in Surgical Decision-Making

doi: 10.1016/j.surg.2020.04.049

Figure Lengend Snippet: The unique strengths and weaknesses of decision analysis and reinforcement learning suggest complementary roles in augmenting clinical reasoning.

Article Snippet: Komorowski 45 , Machine learning , Retrospective review , Patients admitted to ICU with sepsis , 96,156 , A reinforcement learning model recommended intravenous fluid and vasopressor strategies, mortality was lowest when decisions made by clinicians matched recommendations from the reinforcement learning model , NIHR, EPSRC, Orion Corp, Amomed Pharma, Ferring Pharma, Tenax Therapeutics, Baxter, Bristol-Mysers Squibb, GSK, HCA International, Philips Healthcare, Fresenius-KABI.

Techniques:

Input variables from patient assessments and the data from the electronic health record feed decision analysis tools that calculate probability thresholds to inform population-based recommendations. Reinforcement learning models combined with deep learning representation of an expanded set of input data can identify actions yielding the greatest probability of a patient-centered outcome.

Journal: Surgery

Article Title: Decision Analysis and Reinforcement Learning in Surgical Decision-Making

doi: 10.1016/j.surg.2020.04.049

Figure Lengend Snippet: Input variables from patient assessments and the data from the electronic health record feed decision analysis tools that calculate probability thresholds to inform population-based recommendations. Reinforcement learning models combined with deep learning representation of an expanded set of input data can identify actions yielding the greatest probability of a patient-centered outcome.

Article Snippet: Komorowski 45 , Machine learning , Retrospective review , Patients admitted to ICU with sepsis , 96,156 , A reinforcement learning model recommended intravenous fluid and vasopressor strategies, mortality was lowest when decisions made by clinicians matched recommendations from the reinforcement learning model , NIHR, EPSRC, Orion Corp, Amomed Pharma, Ferring Pharma, Tenax Therapeutics, Baxter, Bristol-Mysers Squibb, GSK, HCA International, Philips Healthcare, Fresenius-KABI.

Techniques: