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Showing 1 to 3 of 3 for “"Multi-Player Multi-Armed Bandits"”.

  1. Decentralized multi-user multi-armed bandits with user dependent reward distributions

    … spectrum access problem is studied using a multi-player multi-armed bandits framework. We consider a decentralized multi-player stochastic multi-armed bandit model where the players cannot communicate with each other and can observe only their own actions and rewards. Furthermore, the …

    uiuc Repository record for Decentralized multi-user multi-armed bandits with user dependent reward distributions (opens in a new tab)

  2. Certifying robustness in inference and learning problems

    … detection robust to distribution shifts, and multi-player multi-armed bandits robust to adversarial attacks. Principled approaches for these problems with theoretical guarantees are derived using tools from statistics, information theory and optimization, that are practical, resilient and …

    uiuc Repository record for Certifying robustness in inference and learning problems (opens in a new tab)

  3. Reinforcement Learning-based Optimization of Multiple Access in Wireless Networks

    In this thesis, we study the problem of Multiple Access (MA) in wireless networks and design adaptive solutions based on Reinforcement Learning (RL). We analyze the importance of MA in the current communications scenery, where bandwidth-hungry applications emerge due to the co-evolution of …

    essex Repository record for Reinforcement Learning-based Optimization of Multiple Access in Wireless Networks (opens in a new tab)