Tag: multi-objective optimization
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AI Agents Facing Complex Multi-Objective Decisions
Explore key challenges AI agents face in hard choices, including identification and resolution problems in multi-objective decision-making.
DataCenterGym: Physics-Based Simulator for Efficient Scheduling
Discover DataCenterGym, a physics-grounded simulator enhancing multi-objective data center scheduling with advanced control and thermal dynamics.
Multi-Objective LLM Unlearning with Unified Data & Distillation
Discover a novel LLM unlearning framework that balances efficacy, utility, and robustness using unified domain representation and bidirectional logit disti...
Pareto-Optimal Offline RL with Smooth Tchebysheff Scalarization
Explore Pareto-optimal offline reinforcement learning using smooth Tchebysheff scalarization for multi-objective optimization in AI and protein engineering...
Classifier-Guided Prompt Evolution for Generative AI
Discover how classifier-guided prompt evolution improves generative AI outputs by aligning them better with user preferences using multi-objective optimiza...