multi-objective optimization

Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning AAAI 2026 Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards AAAI 2026 Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization EACL 2026 A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning AAAI 2026 Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits AAAI 2026 Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation AAAI 2026 Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation AAAI 2026 CyclePhase: Robust phase detection in cardiovascular imaging through cyclic motion estimation MIDL 2026 Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization AAAI 2026 Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026 Few-for-Many Personalized Federated Learning CVPR 2026 FLARE: Fine-Grained Length-Aware Routing for Resource-Efficient Heterogeneous LLM Serving ACL 2026 HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective Optimization SemEval 2026 Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract) AAAI 2026 Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer AAAI 2026 Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds UAI 2026 Intrinsic Barriers and Practical Pathways for Human–AI Alignment: An Agreement-Based Complexity Analysis AAAI 2026 Kareus: Joint Reduction of Dynamic and Static Energy in Large Model Training OSDI 2026 Learning Multilingual Agentic Policy to Control Sycophancy EACL 2026 LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026 MAESTRO: Meta-learning Adaptive Estimation of Scalarization Trade-offs for Reward Optimization ACL 2026 MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis ACL 2026 Multi-Objective Bilevel Learning AAAI 2026 Multi-Objective Search: Algorithms, Applications, and Emerging Directions AAAI 2026 Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization AAAI 2026