Imagen de Portada

Preference Conditioned Multi-Objective Reinforcement Learning: Decomposed, Diversity-Driven Policy Optimization

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ambadkar, Tanmay, Panda, Sourav, Kale, Shreyash, Dodge, Jonathan, Verma, Abhinav
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Scaling Strategy, Not Compute: A Stand-Alone, Open-Source StarCraft II Benchmark for Accessible Reinforcement Learning Research
por: Panda, Sourav, et al.
Publicado: (2026)

Automating the Refinement of Reinforcement Learning Specifications
por: Ambadkar, Tanmay, et al.
Publicado: (2025)

Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning
por: Shianifar, Jonaid, et al.
Publicado: (2026)

Meta-Aligner: Bidirectional Preference-Policy Optimization for Multi-Objective LLMs Alignment
por: Xu, Wenzhe, et al.
Publicado: (2026)

Meta-Learning Objectives for Preference Optimization
por: Alfano, Carlo, et al.
Publicado: (2024)

Safety Optimized Reinforcement Learning via Multi-Objective Policy Optimization
por: Honari, Homayoun, et al.
Publicado: (2024)

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning
por: Giovanelli, Joseph, et al.
Publicado: (2023)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
por: Zhang, Tianle, et al.
Publicado: (2024)

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
por: Kang, Hyungkyu, et al.
Publicado: (2025)

Joint Optimization of Multi-Objective Reinforcement Learning with Policy Gradient Based Algorithm
por: Bai, Qinbo, et al.
Publicado: (2021)

Preference-Guided Diffusion for Multi-Objective Offline Optimization
por: Annadani, Yashas, et al.
Publicado: (2025)

Navigating Trade-offs: Policy Summarization for Multi-Objective Reinforcement Learning
por: Osika, Zuzanna, et al.
Publicado: (2024)

FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
por: Kim, Woosung, et al.
Publicado: (2025)

Adaptive Alignment: Dynamic Preference Adjustments via Multi-Objective Reinforcement Learning for Pluralistic AI
por: Harland, Hadassah, et al.
Publicado: (2024)

MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
por: Yuan, Yifu, et al.
Publicado: (2024)

Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization
por: Zhou, Zhanhui, et al.
Publicado: (2023)

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
por: Yao, Yihang, et al.
Publicado: (2023)

Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML
por: Deutel, Mark, et al.
Publicado: (2023)

Protein-Conditioned Multi-Objective Reinforcement Learning for Full-Length mRNA Design
por: Shao, Zixi, et al.
Publicado: (2026)

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
por: Ahmadianshalchi, Alaleh, et al.
Publicado: (2024)

Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization
por: van Remmerden, Jesse, et al.
Publicado: (2024)

POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization
por: Wang, Ziqing, et al.
Publicado: (2025)

Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards
por: Wang, Haoxiang, et al.
Publicado: (2024)

Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
por: Shrestha, Jatan, et al.
Publicado: (2026)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
por: Ma, Yunchang, et al.
Publicado: (2025)

Multi-Objective Reinforcement Learning for Water Management
por: Osika, Zuzanna, et al.
Publicado: (2025)

Demonstration Guided Multi-Objective Reinforcement Learning
por: Lu, Junlin, et al.
Publicado: (2024)

Context-aware Diversity Enhancement for Neural Multi-Objective Combinatorial Optimization
por: Lu, Yongfan, et al.
Publicado: (2024)

Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
por: Formanek, Claude, et al.
Publicado: (2023)

Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds
por: Chen, Edward, et al.
Publicado: (2025)

Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
por: Rens, Gavin B.
Publicado: (2025)

TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning
por: Rajapakse, Dilina, et al.
Publicado: (2026)

Interpretability by Design for Efficient Multi-Objective Reinforcement Learning
por: Xia, Qiyue, et al.
Publicado: (2025)

FBOS-RL: Feedback-Driven Bi-Objective Synergistic Reinforcement Learning
por: Zhang, Xikai, et al.
Publicado: (2026)

Learning Pareto-Optimal Rewards from Noisy Preferences: A Framework for Multi-Objective Inverse Reinforcement Learning
por: Cherukuri, Kalyan, et al.
Publicado: (2025)

Fine-tuning Behavioral Cloning Policies with Preference-Based Reinforcement Learning
por: Macuglia, Maël, et al.
Publicado: (2025)

An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
por: Lin, Qian, et al.
Publicado: (2024)

In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning
por: Terekhov, Mikhail, et al.
Publicado: (2024)

C-MORAL: Controllable Multi-Objective Molecular Optimization with Reinforcement Alignment for LLMs
por: Gao, Rui, et al.
Publicado: (2026)

Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning
por: Batra, Sumeet, et al.
Publicado: (2023)