Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science
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Published By Springer Berlin Heidelberg

9783540779476, 9783540779490

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Bifurcation Analysis of Reinforcement Learning Agents in the Selten’s Horse Game

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_10 ◽

2008 ◽

pp. 129-144

Author(s):

Alessandro Lazaric ◽

Enrique Munoz de Cote ◽

Fabio Dercole ◽

Marcello Restelli

Keyword(s):

Reinforcement Learning ◽

Bifurcation Analysis ◽

Learning Agents

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Stable Cooperation in the N-Player Prisoner’s Dilemma: The Importance of Community Structure

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_12 ◽

2008 ◽

pp. 157-168 ◽

Cited By ~ 5

Author(s):

Colm O’Riordan ◽

Humphrey Sorensen

Keyword(s):

Community Structure ◽

Prisoner's Dilemma ◽

Prisoner’S Dilemma

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Collaborative Learning with Logic-Based Models

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_8 ◽

2008 ◽

pp. 102-116 ◽

Cited By ~ 1

Author(s):

Michal Jakob ◽

Jan Tožička ◽

Michal Pěchouček

Keyword(s):

Collaborative Learning

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Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_13 ◽

2008 ◽

pp. 169-187 ◽

Cited By ~ 1

Author(s):

Maarten Peeters ◽

Katja Verbeeck ◽

Ann Nowé

Keyword(s):

Learning Automata ◽

Hierarchical Learning ◽

Multi Stage

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Multi-agent Reinforcement Learning for Intrusion Detection

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_15 ◽

2008 ◽

pp. 211-223 ◽

Cited By ~ 21

Author(s):

Arturo Servin ◽

Daniel Kudenko

Keyword(s):

Reinforcement Learning ◽

Intrusion Detection ◽

Multi Agent

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Auctions, Evolution, and Multi-agent Learning

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_14 ◽

2008 ◽

pp. 188-210 ◽

Cited By ~ 7

Author(s):

Steve Phelps ◽

Kai Cai ◽

Peter McBurney ◽

Jinzhong Niu ◽

Simon Parsons ◽

...

Keyword(s):

Agent Learning ◽

Multi Agent

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Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_4 ◽

2008 ◽

pp. 44-59 ◽

Cited By ~ 1

Author(s):

Kai Cai ◽

Jinzhong Niu ◽

Simon Parsons

Keyword(s):

Game Theory ◽

Evolutionary Game Theory ◽

Evolutionary Game ◽

Trading Strategies ◽

Double Auction ◽

Auction Market ◽

Continuous Double Auction

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Networks of Learning Automata and Limiting Games

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_16 ◽

2008 ◽

pp. 224-238 ◽

Cited By ~ 3

Author(s):

Peter Vrancx ◽

Katja Verbeeck ◽

Ann Nowé

Keyword(s):

Learning Automata

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Multi-agent Learning by Distributed Feature Extraction

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_17 ◽

2008 ◽

pp. 239-254 ◽

Cited By ~ 1

Author(s):

Michael Wurst

Keyword(s):

Feature Extraction ◽

Agent Learning ◽

Multi Agent

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Combining Reinforcement Learning with Symbolic Planning

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science ◽

10.1007/978-3-540-77949-0_6 ◽

2008 ◽

pp. 75-86 ◽

Cited By ~ 7

Author(s):

Matthew Grounds ◽

Daniel Kudenko

Keyword(s):

Reinforcement Learning ◽

Symbolic Planning

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Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Bifurcation Analysis of Reinforcement Learning Agents in the Selten’s Horse Game

Stable Cooperation in the N-Player Prisoner’s Dilemma: The Importance of Community Structure

Collaborative Learning with Logic-Based Models

Solving Multi-stage Games with Hierarchical Learning Automata That Bootstrap

Multi-agent Reinforcement Learning for Intrusion Detection

Auctions, Evolution, and Multi-agent Learning

Using Evolutionary Game-Theory to Analyse the Performance of Trading Strategies in a Continuous Double Auction Market

Networks of Learning Automata and Limiting Games

Multi-agent Learning by Distributed Feature Extraction

Combining Reinforcement Learning with Symbolic Planning

Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning - Lecture Notes in Computer Science
Latest Publications