On the public citation graph

Selecting informative actions improves cooperative multiagent learning

https://doi.org/10.1145/1160633.1160767
0 signed · 31 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-540-24854-5_59openalex-snapshot
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization
inferredcites →https://doi.org/10.1007/978-3-540-30217-9_90openalex-snapshot
A Visual Demonstration of Convergence Properties of Cooperative Coevolution
inferredcites →https://doi.org/10.1007/bfb0040758openalex-snapshot
Evolutionary computing in multi-agent environments: Operators
inferredcites →https://doi.org/10.1007/s10458-005-2631-2openalex-snapshot
Cooperative Multi-Agent Learning: The State of the Art
inferredcites →https://doi.org/10.1145/1068009.1068094openalex-snapshot
Understanding cooperative co-evolutionary dynamics via simple fitness landscapes
inferredcites →https://doi.org/10.1145/1068009.1068098openalex-snapshot
On identifying global optima in cooperative coevolution
inferredcites →https://doi.org/10.1145/1274000.1274109openalex-snapshot
Evolutionary computation
inferredcites →https://doi.org/10.1887/0750308958openalex-snapshot
Handbook of Evolutionary Computation
inferredcites →https://doi.org/10.3998/mpub.13808openalex-snapshot
The Cooperator's Dilemma
inferredcites →https://doi.org/10.48550/arxiv.1207.1359openalex-snapshot
MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs
inferredcites →https://doi.org/10.48550/arxiv.1208.5159openalex-snapshot
Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (2005)
inferredcites →https://doi.org/10.5555/1622487.1622500openalex-snapshot
Solving transition independent decentralized Markov decision processes
inferredcites →https://doi.org/10.5555/777092.777145openalex-snapshot
Reinforcement learning of coordination in cooperative multi-agent systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4692067openalex-extracted
Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey
inferred← citeshttps://doi.org/10.1007/978-3-540-92910-9_31openalex-snapshot
Coevolutionary Principles
inferred← citeshttps://doi.org/10.1007/978-3-642-41888-4_10openalex-snapshot
Fitness Landscapes That Depend on Time
inferred← citeshttps://doi.org/10.1016/j.knosys.2016.07.001openalex-snapshot
A dynamic optimization approach to the design of cooperative co-evolutionary algorithms
inferred← citeshttps://doi.org/10.1016/j.swevo.2017.03.001openalex-snapshot
Large-scale cooperative co-evolution using niching-based multi-modal optimization and adaptive fast clustering
inferred← citeshttps://doi.org/10.1016/j.swevo.2024.101642openalex-snapshot
Metaheuristics for variable-size mixed optimization problems: A unified taxonomy and survey
inferred← citeshttps://doi.org/10.1109/access.2020.2976488openalex-snapshot
Bi-Hierarchical Cooperative Coevolution for Large Scale Global Optimization
inferred← citeshttps://doi.org/10.1109/cec.2014.6900512openalex-snapshot
Compensate information from multimodal dynamic landscapes: An anti-pathology cooperative coevolutionary algorithm
inferred← citeshttps://doi.org/10.1109/chicc.2006.4347067openalex-snapshot
Multi-Agent System Based on Co-evolution Method and Its' Symbol Deduction Theory Model
inferred← citeshttps://doi.org/10.1109/mci.2025.3563425openalex-snapshot
A Survey on Distributed Evolutionary Computation
inferred← citeshttps://doi.org/10.1109/mncapps.2012.19openalex-snapshot
Cooperative Machine Learning with Information Fusion for Dynamic Decision Making in Diagnostic Applications
inferred← citeshttps://doi.org/10.1109/tevc.2018.2868770openalex-snapshot
A Survey on Cooperative Co-Evolutionary Algorithms
inferred← citeshttps://doi.org/10.1145/1160633.1160776openalex-snapshot
Lenient learners in cooperative multiagent systems
inferred← citeshttps://doi.org/10.1145/1329125.1329173openalex-snapshot
Theoretical advantages of lenient Q-learners
inferred← citeshttps://doi.org/10.1155/2018/9267054openalex-snapshot
Enhancing Cooperative Coevolution with Selective Multiple Populations for Large‐Scale Global Optimization
inferred← citeshttps://doi.org/10.1201/9781439812679.ch5openalex-snapshot
Quality-Based Development of Agent Systems
inferred← citeshttps://doi.org/10.26481/dis.20130516dhopenalex-snapshot
Multiagent Learning: dynamic games & applications
inferred← citeshttps://doi.org/10.48550/arxiv.2401.03880openalex-snapshot
Metaheuristics for (Variable-Size) Mixed Optimization Problems: A Unified Taxonomy and Survey
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.