Image de couverture de livre

A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Ying-Tu, Hung, Wei, Wu, Bing-Shu, Hong, Zhang-Wei, Hsieh, Ping-Chun
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots
par: Hung, Wei, et autres
Publié: (2022)

From Reward-Free Representations to Preferences: Rethinking Offline Preference-Based Reinforcement Learning
par: Yang, Jun-Jie, et autres
Publié: (2026)

Efficient Action-Constrained Reinforcement Learning via Acceptance-Rejection Method and Augmented MDPs
par: Hung, Wei, et autres
Publié: (2025)

BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
par: Hung, Yu-Heng, et autres
Publié: (2025)

Diffusion-Reward Adversarial Imitation Learning
par: Lai, Chun-Mao, et autres
Publié: (2024)

Reinforcement Learning from Human Feedback without Reward Inference: Model-Free Algorithm and Instance-Dependent Analysis
par: Zhang, Qining, et autres
Publié: (2024)

Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning
par: Park, Giseung, et autres
Publié: (2025)

Non-Stationary Restless Multi-Armed Bandits with Provable Guarantee
par: Hung, Yu-Heng, et autres
Publié: (2025)

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization
par: Bai, Yang, et autres
Publié: (2026)

Enhancing Offline Model-Based RL via Active Model Selection: A Bayesian Optimization Perspective
par: Yang, Yu-Wei, et autres
Publié: (2025)

Digital Twin-enabled Multi-generation Control Co-Design with Deep Reinforcement Learning
par: Tsai, Ying-Kuan, et autres
Publié: (2025)

Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
par: Aggarwal, Vaneet, et autres
Publié: (2024)

Action-Constrained Imitation Learning
par: Yeh, Chia-Han, et autres
Publié: (2025)

Self-Reinforced Graph Contrastive Learning
par: Hsieh, Chou-Ying, et autres
Publié: (2025)

Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning
par: Chen, Yen-Ju, et autres
Publié: (2023)

Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts
par: Wang, Haoxiang, et autres
Publié: (2024)

Pareto Set Learning for Multi-Objective Reinforcement Learning
par: Liu, Erlong, et autres
Publié: (2025)

Beware Untrusted Simulators -- Reward-Free Backdoor Attacks in Reinforcement Learning
par: Rathbun, Ethan, et autres
Publié: (2026)

Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
par: Chiang, Chia-Cheng, et autres
Publié: (2024)

AIM: Adversarial Information Masking for Faithfulness Evaluation of Saliency Maps
par: Hsieh, Chia-Ying, et autres
Publié: (2026)

DelTA: Discriminative Token Credit Assignment for Reinforcement Learning from Verifiable Rewards
par: Zhang, Kaiyi, et autres
Publié: (2026)

Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
par: Kim, Dohyeong, et autres
Publié: (2024)

Reinforcement Learning with Non-Cumulative Objective
par: Cui, Wei, et autres
Publié: (2023)

DFedReweighting: A Unified Framework for Objective-Oriented Reweighting in Decentralized Federated Learning
par: Zhang, Kaichuang, et autres
Publié: (2025)

MIRACL: A Diverse Meta-Reinforcement Learning for Multi-Objective Multi-Echelon Combinatorial Supply Chain Optimisation
par: Rachman, Rifny, et autres
Publié: (2026)

Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards
par: Huang, Yu, et autres
Publié: (2026)

Preference-Guided Learning for Sparse-Reward Multi-Agent Reinforcement Learning
par: Bui, The Viet, et autres
Publié: (2025)

Preference-based Multi-Objective Reinforcement Learning
par: Mu, Ni, et autres
Publié: (2025)

Reinforcing Multi-Turn Reasoning in LLM Agents via Turn-Level Reward Design
par: Wei, Quan, et autres
Publié: (2025)

Semi-Supervised Cross-Domain Imitation Learning
par: Chu, Li-Min, et autres
Publié: (2026)

Multi-Objective Adaptive Rate Limiting in Microservices Using Deep Reinforcement Learning
par: Lyu, Ning, et autres
Publié: (2025)

PARM: Multi-Objective Test-Time Alignment via Preference-Aware Autoregressive Reward Model
par: Lin, Baijiong, et autres
Publié: (2025)

Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning
par: Chen, Sze-Ann, et autres
Publié: (2026)

STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning
par: Shao, Wei, et autres
Publié: (2024)

Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
par: Lu, Yining, et autres
Publié: (2025)

Learning Pareto-Optimal Rewards from Noisy Preferences: A Framework for Multi-Objective Inverse Reinforcement Learning
par: Cherukuri, Kalyan, et autres
Publié: (2025)

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
par: Zhang, Zijing, et autres
Publié: (2025)

Automatic Reward Shaping from Multi-Objective Human Heuristics
par: Xie, Yuqing, et autres
Publié: (2025)

Dense Reward for Free in Reinforcement Learning from Human Feedback
par: Chan, Alex J., et autres
Publié: (2024)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
par: Zhang, Zhiwei, et autres
Publié: (2025)