policyaggregation
Adaptive Confidence-Weighted Policy Aggregation: A Novel Method for Federated Reinforcement Learning
Science Score: 44.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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○Scientific vocabulary similarity
Low similarity (1.5%) to scientific vocabulary
Keywords
federated-reinforcement-learning
Last synced: 8 months ago
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Repository
Adaptive Confidence-Weighted Policy Aggregation: A Novel Method for Federated Reinforcement Learning
Basic Info
- Host: GitHub
- Owner: nabazar
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://github.com/nabazar/PolicyAggregation.git
- Size: 599 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
federated-reinforcement-learning
Created almost 2 years ago
· Last pushed 11 months ago
Metadata Files
Readme
Citation
README.md
This code inclusdes 2 main version: PolicyAggV3.ipynb : this code simulate policy aggreigation method PolicyAgg2024V0.ipynb : this code simulate policy aggreigation method and the related statistical runnings
Owner
- Name: Nematollah Ab Azar
- Login: nabazar
- Kind: user
- Location: Tehran, Iran
- Repositories: 1
- Profile: https://github.com/nabazar
Reinfoecment Learning
Citation (CITATION.cff)
cff-version: 1.0.0 message: "If you use this software, please cite it as below." authors: - family-names: "Ab Azar" given-names: "Nematollah" orcid: "https://orcid.org/0000-0002-8368-9143" title: "Adaptive Confidence-Weighted Policy Aggregation" version: 1.0.0 doi: "" date-released: 2024-02-08 url: "https://github.com/nabazar/PolicyAggregation.git"
GitHub Events
Total
- Watch event: 1
- Delete event: 1
- Push event: 1
Last Year
- Watch event: 1
- Delete event: 1
- Push event: 1