COOPER is a distributed MARL method that learns emergent reputation assessment rules and policies from rewards, shown on donation and coin games in grid worlds with adaptation across co-players and networks.
arXiv preprint arXiv:2412.10609 , year=
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
The Moltbook Observatory Archive is the first large-scale dataset from a social network populated exclusively by autonomous AI agents, covering 78 days with 2.6 million posts and 1.2 million comments.
Dominant control-based AI alignment falls short for potential AGI subjects; a parenting model drawing on Turing's child machines should foster gradual autonomy and cooperative coexistence.
citing papers explorer
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Learning to cooperate with emergent reputation via multi-agent reinforcement learning
COOPER is a distributed MARL method that learns emergent reputation assessment rules and policies from rewards, shown on donation and coin games in grid worlds with adaptation across co-players and networks.
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The Moltbook Observatory Archive: an incremental dataset of agent-only social network activity
The Moltbook Observatory Archive is the first large-scale dataset from a social network populated exclusively by autonomous AI agents, covering 78 days with 2.6 million posts and 1.2 million comments.
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The Possibility of Artificial Intelligence Becoming a Subject and the Alignment Problem
Dominant control-based AI alignment falls short for potential AGI subjects; a parenting model drawing on Turing's child machines should foster gradual autonomy and cooperative coexistence.