Improve Convergence Speed of Multi‐Agent Q‐Learning for Cooperative Task Planning (English)
- New search for: Sadhu, Arup Kumar
- New search for: Konar, Amit
- New search for: Sadhu, Arup Kumar
- New search for: Konar, Amit
In:
Multi‐Agent Coordination
: A Reinforcement Learning Approach
;
111-166
;
2020
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ISBN:
- Article/Chapter (Book) / Electronic Resource
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Title:Improve Convergence Speed of Multi‐Agent Q‐Learning for Cooperative Task Planning
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Contributors:Sadhu, Arup Kumar ( author ) / Konar, Amit ( author )
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Published in:Multi‐Agent Coordination : A Reinforcement Learning Approach ; 111-166
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Publisher:
- New search for: John Wiley & Sons, Inc.
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Place of publication:Hoboken, NJ, USA
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Publication date:2020-11-06
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Size:56 pages
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ISBN:
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DOI:
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Type of media:Article/Chapter (Book)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents eBook
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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IntroductionSadhu, Arup Kumar / Konar, Amit et al. | 2020
- 111
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Improve Convergence Speed of Multi‐Agent Q‐Learning for Cooperative Task PlanningSadhu, Arup Kumar / Konar, Amit et al. | 2020
- 167
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Consensus Q‐Learning for Multi‐agent Cooperative PlanningSadhu, Arup Kumar / Konar, Amit et al. | 2020
- 183
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An Efficient Computing of Correlated Equilibrium for Cooperative Q‐Learning‐Based Multi‐Robot PlanningSadhu, Arup Kumar / Konar, Amit et al. | 2020
- 233
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A Modified Imperialist Competitive Algorithm for Multi‐Robot Stick‐Carrying ApplicationSadhu, Arup Kumar / Konar, Amit et al. | 2020
- 281
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Conclusions and Future DirectionsSadhu, Arup Kumar / Konar, Amit et al. | 2020
- 285
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IndexSadhu, Arup Kumar / Konar, Amit et al. | 2020
- i
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Front MatterSadhu, Arup Kumar / Konar, Amit et al. | 2020