{"total":90,"rows":[{"id":"2501.13918","title":"Improving Video Generation with Human Feedback","created":"2025-01-23","cited_by_count":284,"area":"diffusion"},{"id":"2103.09568","title":"A Practical Guide to Multi-Objective Reinforcement Learning and Planning","created":"2021-03-17","cited_by_count":256,"area":null},{"id":"2306.04488","title":"Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards","created":"2023-06-07","cited_by_count":243,"area":"alignment"},{"id":"2402.10207","title":"Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment","created":"2024-02-15","cited_by_count":175,"area":"alignment"},{"id":"2310.03708","title":"Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization","created":"2023-10-05","cited_by_count":124,"area":"alignment"},{"id":"2402.02030","title":"Panacea: Pareto Alignment via Preference Adaptation for LLMs","created":"2024-02-03","cited_by_count":80,"area":"alignment"},{"id":"2410.04070","title":"PAD: Personalized Alignment of LLMs at Decoding-Time","created":"2024-10-05","cited_by_count":60,"area":"alignment"},{"id":"2203.15386","title":"Pareto Set Learning for Neural Multi-objective Combinatorial Optimization","created":"2022-03-29","cited_by_count":56,"area":null},{"id":"2410.08193","title":"GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-time Alignment","created":"2024-10-10","cited_by_count":54,"area":"alignment"},{"id":"2403.17141","title":"MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models","created":"2024-03-25","cited_by_count":44,"area":"alignment"},{"id":"2409.20370","title":"The Perfect Blend: Redefining RLHF with Mixture of Judges","created":"2024-09-30","cited_by_count":43,"area":"alignment"},{"id":"2409.07253","title":"Alignment of Diffusion Models: Fundamentals, Challenges, and Future","created":"2024-09-11","cited_by_count":35,"area":"diffusion"},{"id":"2310.12541","title":"Large Language Model for Multi-objective Evolutionary Optimization","created":"2023-10-19","cited_by_count":29,"area":null},{"id":"2103.10290","title":"Integrated Decision and Control: Towards Interpretable and Computationally Efficient Driving Intelligence","created":"2021-03-18","cited_by_count":27,"area":"driving"},{"id":"2508.03905","title":"Sotopia-RL: Reward Design for Social Intelligence","created":"2025-08-05","cited_by_count":24,"area":"alignment"},{"id":"2206.03378","title":"Imitating Past Successes can be Very Suboptimal","created":"2022-06-07","cited_by_count":23,"area":"offlinerl"},{"id":"2406.00415","title":"Neural Combinatorial Optimization Algorithms for Solving Vehicle Routing Problems: A Comprehensive Survey with Perspectives","created":"2024-06-01","cited_by_count":23,"area":null},{"id":"2107.07076","title":"An Overview and Experimental Study of Learning-based Optimization Algorithms for Vehicle Routing Problem","created":"2021-07-15","cited_by_count":22,"area":null},{"id":"2503.00295","title":"Robust Multi-Objective Preference Alignment with Online DPO","created":"2025-03-01","cited_by_count":22,"area":"alignment"},{"id":"2310.15196","title":"Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization","created":"2023-10-22","cited_by_count":21,"area":null},{"id":"2105.02741","title":"Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems","created":"2021-05-06","cited_by_count":20,"area":null},{"id":"2410.19198","title":"MAP: Multi-Human-Value Alignment Palette","created":"2024-10-24","cited_by_count":20,"area":"alignment"},{"id":"2501.06773","title":"Pareto Set Learning for Multi-Objective Reinforcement Learning","created":"2025-01-12","cited_by_count":20,"area":"deeprl"},{"id":"2501.10945","title":"Gradient-Based Multi-Objective Deep Learning: Algorithms, Theories, Applications, and Beyond","created":"2025-01-19","cited_by_count":18,"area":null},{"id":"2205.02453","title":"Learning to Solve Vehicle Routing Problems: A Survey","created":"2022-05-05","cited_by_count":16,"area":null},{"id":"2102.05875","title":"Deep Reinforcement Learning for Combinatorial Optimization: Covering Salesman Problems","created":"2021-02-11","cited_by_count":13,"area":null},{"id":"2310.15195","title":"Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement","created":"2023-10-22","cited_by_count":13,"area":null},{"id":"2502.14289","title":"Drift: Decoding-time Personalized Alignments with Implicit User Preferences","created":"2025-02-20","cited_by_count":13,"area":"alignment"},{"id":"2505.10892","title":"Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models","created":"2025-05-16","cited_by_count":13,"area":"alignment"},{"id":"2505.20925","title":"Multi-objective Large Language Model Alignment with Hierarchical Experts","created":"2025-05-27","cited_by_count":13,"area":"alignment"},{"id":"2502.18635","title":"Faster, Cheaper, Better: Multi-Objective Hyperparameter Optimization for LLM and RAG Systems","created":"2025-02-25","cited_by_count":12,"area":"rag"},{"id":"2504.12663","title":"Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment","created":"2025-04-17","cited_by_count":11,"area":"alignment"},{"id":"2505.11718","title":"REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning","created":"2025-05-16","cited_by_count":11,"area":"lr"},{"id":"2502.18699","title":"MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment","created":"2025-02-25","cited_by_count":10,"area":"alignment"},{"id":"2503.08796","title":"Robust Multi-Objective Controlled Decoding of Large Language Models","created":"2025-03-11","cited_by_count":9,"area":null},{"id":"2107.07961","title":"MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization","created":"2021-07-16","cited_by_count":8,"area":null},{"id":"2410.14001","title":"Personalized Adaptation via In-Context Preference Learning","created":"2024-10-17","cited_by_count":8,"area":"alignment"},{"id":"2206.11526","title":"A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization","created":"2022-06-23","cited_by_count":7,"area":null},{"id":"2507.00218","title":"Learning for routing: A guided review of recent developments and future directions","created":"2025-06-30","cited_by_count":7,"area":null},{"id":"2305.14109","title":"Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML","created":"2023-05-23","cited_by_count":6,"area":null},{"id":"2412.01566","title":"Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art","created":"2024-12-02","cited_by_count":6,"area":null},{"id":"2506.08898","title":"Preference-Driven Multi-Objective Combinatorial Optimization with Conditional Computation","created":"2025-06-10","cited_by_count":6,"area":"deeprl"},{"id":"2510.01167","title":"Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards","created":"2025-10-01","cited_by_count":6,"area":"alignment"},{"id":"2307.01434","title":"Learning to Branch in Combinatorial Optimization with Graph Pointer Networks","created":"2023-07-04","cited_by_count":4,"area":null},{"id":"2401.02160","title":"Human-in-the-Loop Policy Optimization for Preference-Based Multi-Objective Reinforcement Learning","created":"2024-01-04","cited_by_count":4,"area":"deeprl"},{"id":"2402.12381","title":"Constrained Multi-objective Optimization with Deep Reinforcement Learning Assisted Operator Selection","created":"2024-01-15","cited_by_count":4,"area":"deeprl"},{"id":"2407.13113","title":"Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II","created":"2024-07-18","cited_by_count":4,"area":"deeprl"},{"id":"2504.16628","title":"ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models using Pareto High-quality Data","created":"2025-04-23","cited_by_count":4,"area":"alignment"},{"id":"2602.20042","title":"AI Alignment Breaks at the Edge","created":"2026-02-23","cited_by_count":4,"area":"alignment"},{"id":"2405.11492","title":"Enhancing Vehicle Aerodynamics with Deep Reinforcement Learning in Voxelised Models","created":"2024-05-19","cited_by_count":3,"area":"deeprl"},{"id":"2410.21533","title":"L3Ms -- Lagrange Large Language Models","created":"2024-10-28","cited_by_count":3,"area":"alignment"},{"id":"2411.00524","title":"Comparison-based Active Preference Learning for Multi-dimensional Personalization","created":"2024-11-01","cited_by_count":3,"area":null},{"id":"2508.11255","title":"FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation","created":"2025-08-15","cited_by_count":3,"area":"alignment"},{"id":"2512.15302","title":"Towards Proactive Personalization through Profile Customization for Individual Users in Dialogues","created":"2025-12-17","cited_by_count":3,"area":null},{"id":"2602.09538","title":"UniARM: Towards a Unified Autoregressive Reward Model for Multi-Objective Test-Time Alignment","created":"2026-02-10","cited_by_count":3,"area":"alignment"},{"id":"2405.01480","title":"Common pitfalls to avoid while using multiobjective optimization in machine learning","created":"2024-05-02","cited_by_count":2,"area":null},{"id":"2405.08604","title":"Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization","created":"2024-05-14","cited_by_count":2,"area":null},{"id":"2407.01615","title":"Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints","created":"2024-06-28","cited_by_count":2,"area":"deeprl"},{"id":"2503.10669","title":"UC-MOA: Utility-Conditioned Multi-Objective Alignment for Distributional Pareto-Optimality","created":"2025-03-10","cited_by_count":2,"area":"alignment"},{"id":"2503.12301","title":"One Goal, Many Challenges: Robust Preference Optimization Amid Content-Aware and Multi-Source Noise","created":"2025-03-16","cited_by_count":2,"area":"alignment"},{"id":"2506.22095","title":"Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs","created":"2025-06-27","cited_by_count":2,"area":null},{"id":"2108.02551","title":"Ensemble Consensus-based Representation Deep Reinforcement Learning for Hybrid FSO/RF Communication Systems","created":"2021-08-05","cited_by_count":1,"area":null},{"id":"2111.05508","title":"Training Generative Adversarial Networks with Adaptive Composite Gradient","created":"2021-11-10","cited_by_count":1,"area":null},{"id":"2203.01298","title":"Pareto Frontier Approximation Network (PA-Net) to Solve Bi-objective TSP","created":"2022-03-02","cited_by_count":1,"area":null},{"id":"2204.11860","title":"Multi-objective Pointer Network for Combinatorial Optimization","created":"2022-04-25","cited_by_count":1,"area":null},{"id":"2506.03827","title":"Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising","created":"2025-06-04","cited_by_count":1,"area":"alignment"},{"id":"2509.18088","title":"Optimization without Future Compromises? Decentralized Coordination via Collective and Reinforcement Learning","created":"2025-09-22","cited_by_count":1,"area":"deeprl"},{"id":"2511.00220","title":"Iterative Foundation Model Fine-Tuning on Multiple Rewards","created":"2025-10-31","cited_by_count":1,"area":null},{"id":"2601.10911","title":"Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation","created":"2026-01-15","cited_by_count":1,"area":"deeprl"},{"id":"2103.05847","title":"A Two-stage Framework and Reinforcement Learning-based Optimization Algorithms for Complex Scheduling Problems","created":"2021-03-10","cited_by_count":0,"area":null},{"id":"2112.00333","title":"Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2204.11477","title":"Deep Reinforcement Learning for Online Routing of Unmanned Aerial Vehicles with Wireless Power Transfer","created":"2022-04-25","cited_by_count":0,"area":null},{"id":"2405.00410","title":"UCB-driven Utility Function Search for Multi-objective Reinforcement Learning","created":"2024-05-01","cited_by_count":0,"area":"deeprl"},{"id":"2406.14876","title":"Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization","created":"2024-06-21","cited_by_count":0,"area":null},{"id":"2502.12834","title":"NTP-INT: Network Traffic Prediction-Driven In-band Network Telemetry for High-load Switches","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2503.04085","title":"SED2AM: Solving Multi-Trip Time-Dependent Vehicle Routing Problem using Deep Reinforcement Learning","created":"2025-03-06","cited_by_count":0,"area":"deeprl"},{"id":"2509.17423","title":"Methods for Multi-objective Optimization PID Controller for quadrotor UAVs","created":"2025-09-22","cited_by_count":0,"area":"deeprl"},{"id":"2511.05265","title":"An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones","created":"2025-11-07","cited_by_count":0,"area":"deeprl"},{"id":"2601.01665","title":"Adversarial Instance Generation and Robust Training for Neural Combinatorial Optimization with Multiple Objectives","created":"2026-01-04","cited_by_count":0,"area":"deeprl"},{"id":"2603.08447","title":"Efficient Policy Learning with Hybrid Evaluation-Based Genetic Programming for Uncertain Agile Earth Observation Satellite Scheduling","created":"2026-03-09","cited_by_count":0,"area":null},{"id":"2604.10664","title":"Preference-Agile Multi-Objective Optimization for Real-time Vehicle Dispatching","created":"2026-04-12","cited_by_count":0,"area":null},{"id":"2604.13175","title":"Pareto-Optimal Offline Reinforcement Learning via Smooth Tchebycheff Scalarization","created":"2026-04-14","cited_by_count":0,"area":"offlinerl"},{"id":"2605.22876","title":"WeCon: An Efficient Weight-Conditioned Neural Solver for Multi-Objective Combinatorial Optimization Problems","created":"2026-05-20","cited_by_count":0,"area":null},{"id":"2605.25342","title":"MATO: Multi-objective Personalized Alignment with Test-time Optimization for Large Language Models","created":"2026-05-25","cited_by_count":0,"area":"alignment"},{"id":"2606.21604","title":"Learning to Place Guards by Reinforcement: A Geo-Free Neural Policy for the Vertex-Guard Art Gallery Problem","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.01392","title":"Multi-Objective Exploration and Preference Optimization via Mutual Information","created":"2026-07-01","cited_by_count":0,"area":"alignment"},{"id":"2608.29978","title":"Evolutionary Soups: Evolving Mixture-of-Experts for Multi-Objective LLM Alignment","created":"2026-08-30","cited_by_count":0,"area":"alignment"},{"id":"2609.24750","title":"Reinforcement Learning in Operational Research: A Technical Review and Practical Roadmap","created":"2026-09-21","cited_by_count":0,"area":"deeprl"},{"id":"2609.28942","title":"From Static Personal Values to Contextualized Personalization: Bayesian Personalized Value Alignment for LLMs","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2610.04845","title":"Which Preferences to Train On? End-to-End Multi-Objective Alignment with an Adversarial Preference Distribution","created":"2026-10-04","cited_by_count":0,"area":"alignment"}],"next_cursor":null}