AI Future Forecast III | Multi-Objective Optimization Dealing with Ambiguity

In real-world problems, there is almost never a single 'correct answer' that can be found by maximizing just one thing.If you ...

Why Multi-Task Learning Reduces Accuracy: The Mathematical Inevitability of Simultaneous Optimization for Multiple Objectives

If foundation models like CNNs and BERT are strong at multiple tasks, then training them on multiple tasks simultaneously ...
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Managing and learning with multiple models: Objectives and optimization algorithms

Authors William J. M. Probert, C.E. Hauser, E. McDonald-Madden, M.C. Runge, P.W.J. Baxter, H.P. Possingham ...
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WiMi Studies Quantum Encoding Circuit Adaptation Optimization Architecture Based on Reinforcement Learning

WiMi's proposed technical solution has its core innovations concentrated on the deep integration of model-based reinforcement learning algorithms and hierarchical circuit structures, constructing a ...