coordination
Optimal testing using combined test statistics across independent studies
We introduce a natural and mild restriction on the meta-level combination functions of the local trials.
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Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games
Team-Nash equilibrium (TNE) predicts the outcomes of such coordinated interactions.
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Learning to Influence Human Behavior with Offline Reinforcement Learning
When interacting with people, AI agents do not just influence the state of the world - they also influence the actions people take in response to the agent, and even their underlying intentions and strategies.
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ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination Xihuai Wang
The significant difference between the deployment-time partners' distribution and the training partners' distribution determined by the
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CoordinatedProximalPolicyOptimization
Insuch applications, a team of agents aim to maximize a joint expected utility through a single global reward.
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