
The editors-in-chief of the Springer journal, Autonomous Agents and Multi-Agent Systems. NEW: on Mastodon at @aamasjournal@masto.ai
Joined June 2017
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We are now also on Mastodon at @aamasjournal@masto.ai
We will (at least for now) be posting the same content on both platforms.
How do humans transfer their knowledge and skills to artificial decision-making agents? What kind of knowledge and skills should humans provide and in what format? (1/2)
Recent advances in leveraging human guidance for sequential decision-making tasks, by @RuohanZhang76, Faraz Torabi, Garrett Warnell & @PeterStone_TX (Oct 2021 issue) (2/2)
link.springer.com/article/10…
Maximin fairness with mixed divisible and indivisible goods, by Xiaohui Bei, Shengxin Liu, Xinhang Lu & Hongao Wang (Oct 2021 issue)
link.springer.com/article/10…
Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function, by Yanchen Deng & Bo An (October 2021 issue) link.springer.com/article/10…
Testing stability properties in graphical hedonic games, by Hendrik Fichtenberger & Anja Rey (October 2021 issue) link.springer.com/article/10…
Concurrent local negotiations with a global utility function: a greedy approach, by @yasserfarouk (October 2021 issue): A new method for concurrent negotiation with theoretical guarantees on performance
#autoneg #automated_negotiation
link.springer.com/article/10…
Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning, by Jacopo Castellini, @faoliehoek, @rahul__savani & @shimon8282 (October 2021 issue) link.springer.com/article/10… (1/4)
ANEGMA: an automated negotiation model for e-markets, by @p_bagga_, @nicolapaoletti, Bedour Alrayes & @kstathis (October 2021 issue) link.springer.com/article/10… (1/2)
#DeepReinforcementLearning #AutomatedNegotiation #MultiAgentSystems #ReinforcementLearning #ComputerScience
"Information Design in Affiliate Marketing", by Sharadhi Alape Suryanarayana, David Sarne & Sarit Kraus, in the October, 2021 issue of JAAMAS: link.springer.com/article/10…
Voting with random classifiers (VORACE) is an innovative ensemble technique that uses voting rules over a set of randomly-generated classifiers. Paper by @Cristina__C, Michele Donini, @aloreggia, Maria Silvia Pini & @frossi_t (October 2021 issue): link.springer.com/article/10…
"The effect of strategic noise in linear regression", by @SafwanHossain14 and @nsrg_shah (Oct 2021) characterizes the impact on regression algorithms when strategic agents misreport training data to max some private objective #MachineLearning #gametheory link.springer.com/article/10…
JAAMAS is included - so if you're based in Australia or New Zealand, your open access fees are covered (you need to be the corresponding author). (1/2)
... to see what other institutions and countries have agreements to cover open access fees see: springernature.com/gp/open-r… (2/2)





