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Found 4 papers, 1 papers with code
Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
In practical settings, classification datasets are obtained through a labelling process that is usually done by humans.
Logical Team Q-learning: An approach towards factored policies in cooperative MARL
We derive LTQL as a stochastic approximation to a dynamic programming method we introduce in this work.
ISL: A novel approach for deep exploration
In this article we explore an alternative approach to address deep exploration and we introduce the ISL algorithm, which is efficient at performing deep exploration.
Multi-Agent Fully Decentralized Value Function Learning with Linear Convergence Rates
In this scenario, agents collaborate to estimate the value function of a target team policy.
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