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Rationality of reward sharing in multi-agent reinforcement learning
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/3-540-60923-7openalex-snapshot
Adaption and Learning in Multi-Agent Systems
inferredcites →https://doi.org/10.1007/3-540-60923-7_30openalex-snapshot
Multiagent coordination with learning classifier systems
inferredcites →https://doi.org/10.1007/bf00113898openalex-snapshot
Credit Assignment in Rule Discovery Systems Based on Genetic Algorithms
inferredcites →https://doi.org/10.1016/b978-1-55860-141-3.50025-0openalex-snapshot
Active Perception and Reinforcement Learning
inferredcites →https://doi.org/10.1016/b978-1-55860-307-3.50049-6openalex-snapshot
Multi-Agent Reinforcement Learning: Independent vs. Cooperative Agents
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-01054-6_13openalex-snapshot
Proposal and Evaluation of an Indirect Reward Assignment Method for Reinforcement Learning by Profit Sharing Method
inferred← citeshttps://doi.org/10.1007/978-3-031-76516-2_26openalex-snapshot
Extension of a Conscious Decision-Making System Using Deep Reinforcement Learning to Multi-agent Environments
inferred← citeshttps://doi.org/10.1007/978-3-319-59294-7_15openalex-snapshot
Proposal of an Action Selection Strategy with Expected Failure Probability and Its Evaluation in Multi-agent Reinforcement Learning
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inferred← citeshttps://doi.org/10.1016/j.cogsys.2021.07.002openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cogsys.2023.101207openalex-snapshot
Suppression of negative tweets using reinforcement learning systems
inferred← citeshttps://doi.org/10.1016/j.ins.2010.04.001openalex-snapshot
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
inferred← citeshttps://doi.org/10.1016/j.procs.2016.07.411openalex-snapshot
A Study of an Indirect Reward on Multi-agent Environments
inferred← citeshttps://doi.org/10.1109/aina.2004.1283775openalex-snapshot
On agents' cooperative behavior based on potential field
inferred← citeshttps://doi.org/10.1109/cac.2018.8623593openalex-snapshot
Optimal Look-ahead Control of CSPS System by Deep Q-Network and Profit Sharing
inferred← citeshttps://doi.org/10.1109/iccima.2001.970455openalex-snapshot
On the rationality of profit sharing in multi-agent reinforcement learning
inferred← citeshttps://doi.org/10.1109/iconip.2002.1202183openalex-snapshot
Certainty and expertness-based credit assignment for cooperative Q-Learning agents with an AND-type task
inferred← citeshttps://doi.org/10.1109/icsmc.2002.1173251openalex-snapshot
A new approach to credit assignment in a team of cooperative Q-learning agents
inferred← citeshttps://doi.org/10.1109/jsyst.2007.901641openalex-snapshot
Knowledge-Based Multiagent Credit Assignment: A Study on Task Type and Critic Information
inferred← citeshttps://doi.org/10.1109/tai.2024.3401649openalex-snapshot
Bidirectional Influence and Interaction for Multiagent Reinforcement Learning
inferred← citeshttps://doi.org/10.1145/860575.860735openalex-snapshot
A direct-indirect reward sharing model in multiagent reinforcement learning
inferred← citeshttps://doi.org/10.17771/pucrio.acad.35557openalex-snapshot
COORDENAÇÃO INTELIGENTE PARA MULTIAGENTES BASEADOS EM MODELOS NEURO-FUZZY HIERÁRQUICOS COM APRENDIZADO POR REFORÇO
inferred← citeshttps://doi.org/10.20965/jaciii.2017.p0849openalex-snapshot
Exploitation-Oriented Learning with Deep Learning – Introducing Profit Sharing to a Deep Q-Network –
inferred← citeshttps://doi.org/10.20965/jaciii.2017.p0930openalex-snapshot
Proposal of PSwithEFP and its Evaluation in Multi-Agent Reinforcement Learning
inferred← citeshttps://doi.org/10.20965/jrm.2024.p0580openalex-snapshot
Enhanced Naive Agent in Angry Birds AI Competition via Exploitation-Oriented Learning
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Combinando Modelos de Interação para Melhorar a Coordenação em Sistemas Multiagente
inferred← citeshttps://doi.org/10.4018/978-1-60566-898-7.ch015openalex-snapshot
Exploitation-Oriented Learning XoL
inferred← citeshttps://doi.org/10.65109/svds4191openalex-snapshot
Reward-Sharing Relational Networks in Multi-Agent Reinforcement Learning as a Framework for Emergent Behavior
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