Saved in:
| Main Authors: | Lin, Qian, Liu, Zongkai, Mo, Danying, Yu, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.09958 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024)
by: Liu, Zongkai, et al.
Published: (2024)
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2024)
by: Gu, Shangding, et al.
Published: (2024)
Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024)
by: Xue, Ke, et al.
Published: (2024)
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)
by: Kim, Woosung, et al.
Published: (2025)
State-Constrained Offline Reinforcement Learning
by: Hepburn, Charles A., et al.
Published: (2024)
by: Hepburn, Charles A., et al.
Published: (2024)
CPGD: Toward Stable Rule-based Reinforcement Learning for Language Models
by: Liu, Zongkai, et al.
Published: (2025)
by: Liu, Zongkai, et al.
Published: (2025)
Safe Offline Reinforcement Learning with Real-Time Budget Constraints
by: Lin, Qian, et al.
Published: (2023)
by: Lin, Qian, et al.
Published: (2023)
Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
by: Xu, Yinglun, et al.
Published: (2023)
by: Xu, Yinglun, et al.
Published: (2023)
Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation
by: Zhou, Zhijian, et al.
Published: (2025)
by: Zhou, Zhijian, et al.
Published: (2025)
Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning
by: Mao, Yixiu, et al.
Published: (2025)
by: Mao, Yixiu, et al.
Published: (2025)
MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
by: Yuan, Yifu, et al.
Published: (2024)
by: Yuan, Yifu, et al.
Published: (2024)
Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare
by: Fang, Nan, et al.
Published: (2024)
by: Fang, Nan, et al.
Published: (2024)
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning
by: Cho, Minjae, et al.
Published: (2024)
by: Cho, Minjae, et al.
Published: (2024)
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2024)
by: Alles, Marvin, et al.
Published: (2024)
Manifold-Constrained Energy-Based Transition Models for Offline Reinforcement Learning
by: Fang, Zeyu, et al.
Published: (2026)
by: Fang, Zeyu, et al.
Published: (2026)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
Preference-Guided Diffusion for Multi-Objective Offline Optimization
by: Annadani, Yashas, et al.
Published: (2025)
by: Annadani, Yashas, et al.
Published: (2025)
Offline Reinforcement Learning and Sequence Modeling for Downlink Link Adaptation
by: Peri, Samuele, et al.
Published: (2024)
by: Peri, Samuele, et al.
Published: (2024)
Dataset Distillation for Offline Reinforcement Learning
by: Light, Jonathan, et al.
Published: (2024)
by: Light, Jonathan, et al.
Published: (2024)
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
by: Shrestha, Jatan, et al.
Published: (2026)
by: Shrestha, Jatan, et al.
Published: (2026)
Mutual Information Regularized Offline Reinforcement Learning
by: Ma, Xiao, et al.
Published: (2022)
by: Ma, Xiao, et al.
Published: (2022)
Demonstration Guided Multi-Objective Reinforcement Learning
by: Lu, Junlin, et al.
Published: (2024)
by: Lu, Junlin, et al.
Published: (2024)
Multi-Objective Reinforcement Learning for Water Management
by: Osika, Zuzanna, et al.
Published: (2025)
by: Osika, Zuzanna, et al.
Published: (2025)
Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
by: Qian, Fuyuan, et al.
Published: (2026)
by: Qian, Fuyuan, et al.
Published: (2026)
Lyapunov-Guided Self-Alignment: Test-Time Adaptation for Offline Safe Reinforcement Learning
by: Han, Seungyub, et al.
Published: (2026)
by: Han, Seungyub, et al.
Published: (2026)
Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2025)
by: Chen, Jiayu, et al.
Published: (2025)
Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
by: Huang, Xiao, et al.
Published: (2025)
by: Huang, Xiao, et al.
Published: (2025)
On the Complexity of Offline Reinforcement Learning with $Q^\star$-Approximation and Partial Coverage
by: Liu, Haolin, et al.
Published: (2026)
by: Liu, Haolin, et al.
Published: (2026)
KAN v.s. MLP for Offline Reinforcement Learning
by: Guo, Haihong, et al.
Published: (2024)
by: Guo, Haihong, et al.
Published: (2024)
Boundary-to-Region Supervision for Offline Safe Reinforcement Learning
by: Su, Huikang, et al.
Published: (2025)
by: Su, Huikang, et al.
Published: (2025)
Imitating Cost-Constrained Behaviors in Reinforcement Learning
by: Shao, Qian, et al.
Published: (2024)
by: Shao, Qian, et al.
Published: (2024)
Constrained Reinforcement Learning with Average Reward Objective: Model-Based and Model-Free Algorithms
by: Aggarwal, Vaneet, et al.
Published: (2024)
by: Aggarwal, Vaneet, et al.
Published: (2024)
Multi-level Certified Defense Against Poisoning Attacks in Offline Reinforcement Learning
by: Liu, Shijie, et al.
Published: (2025)
by: Liu, Shijie, et al.
Published: (2025)
TREX: Trajectory Explanations for Multi-Objective Reinforcement Learning
by: Rajapakse, Dilina, et al.
Published: (2026)
by: Rajapakse, Dilina, et al.
Published: (2026)
Interpretability by Design for Efficient Multi-Objective Reinforcement Learning
by: Xia, Qiyue, et al.
Published: (2025)
by: Xia, Qiyue, et al.
Published: (2025)
Imagination-Limited Q-Learning for Offline Reinforcement Learning
by: Liu, Wenhui, et al.
Published: (2025)
by: Liu, Wenhui, et al.
Published: (2025)
MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)
by: Guo, Yihong, et al.
Published: (2025)
VIPO: Value Function Inconsistency Penalized Offline Reinforcement Learning
by: Chen, Xuyang, et al.
Published: (2025)
by: Chen, Xuyang, et al.
Published: (2025)
Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)
by: Gao, Chen-Xiao, et al.
Published: (2024)
Similar Items
-
Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024) -
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
by: Liu, Zongkai, et al.
Published: (2024) -
Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning
by: Gu, Shangding, et al.
Published: (2024) -
Offline Multi-Objective Optimization
by: Xue, Ke, et al.
Published: (2024) -
FairDICE: Fairness-Driven Offline Multi-Objective Reinforcement Learning
by: Kim, Woosung, et al.
Published: (2025)