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Differentially-PrivateFederated LinearBandits
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Next, we prove rigorous bounds on the cumulative group pseudoregret obtained byFEDUCB.
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DevelopingandEvaluatingAutomatedScientific DiscoveryAgents
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Automated scientific discovery promises to accelerate progress across scientific domains. However, developing and evaluating an AI agent's capacity for endto-end scientific reasoning is challenging as running real-world experiments is often prohibitively expensive or infeasible.
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Appendix A Visual Reinforcement Learning Baselines DrQ: This model-free, off-policy reinforcement learning algorithm, is based on Soft Actor-Critic (SAC) [
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Meanwhile, we utilize the 3D scenes from the Gibson dataset as our map for all experiments. Autonomous driving: We choose the stable version of CARLA 0.9.10 for simulation.
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