conftrace_

multi-objective optimization

364 papers

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Also known as

MOOP MO MOO

Co-occurring keywords

evolutionary algorithm (264) pareto front (63) bayesian optimization (624) pareto optimization (78) pareto optimal (58) reinforcement learning (4352) large language model (13587) runtime analysis (41) pareto optimality (78) multi-task learning (2575)

Papers

Hybrid PPO–DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract) AAAI 2026

Intrinsic Barriers and Practical Pathways for Human–AI Alignment: An Agreement-Based Complexity Analysis AAAI 2026

Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization AAAI 2026

Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards AAAI 2026

Random is Faster than Systematic in Multi-Objective Local Search AAAI 2026

Superior Runtime Guarantees for the MOEA/D Multi-Objective Optimizer via Weighted-Sum Decomposition 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

Target-Balanced Score Distillation AAAI 2026

Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning AAAI 2026

Multi-Objective Bilevel Learning AAAI 2026

Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer AAAI 2026

Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds AAAI 2026

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization AAAI 2026

Rethinking Real Image Editing: Unleashing Diverse Editing Operators via Multi-Objective Optimization WACV 2026

Learning Multilingual Agentic Policy to Control Sycophancy EACL 2026

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective AAAI 2026

Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation AAAI 2026

VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping AAAI 2026

Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization AAAI 2026

Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems AAAI 2026

LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration AAAI 2026

Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization AAAI 2026

Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits AAAI 2026

Multi-Objective Search: Algorithms, Applications, and Emerging Directions AAAI 2026