Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Xiancheng, Shi, Yufeng, Zhou, Wengang, Li, Houqiang
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Goal Discovery with Causal Capacity for Efficient Reinforcement Learning
by: Yu, Yan, et al.
Published: (2025)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
by: Gao, Chen-Xiao, et al.
Published: (2024)

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
by: Xu, Yinglun, et al.
Published: (2023)

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
by: Ramesh, Aditya A., et al.
Published: (2024)

A Survey of Temporal Credit Assignment in Deep Reinforcement Learning
by: Pignatelli, Eduardo, et al.
Published: (2023)

Pinpointing crucial steps: Attribution-based Credit Assignment for Verifiable Reinforcement Learning
by: Yin, Junxi, et al.
Published: (2025)

Preference Elicitation for Offline Reinforcement Learning
by: Pace, Alizée, et al.
Published: (2024)

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning
by: Qu, Yun, et al.
Published: (2024)

LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency
by: Liu, Xiao-Yin, et al.
Published: (2024)

Behavior Preference Regression for Offline Reinforcement Learning
by: Srinivasan, Padmanaba, et al.
Published: (2025)

HiPER: Hierarchical Reinforcement Learning with Explicit Credit Assignment for Large Language Model Agents
by: Peng, Jiangweizhi, et al.
Published: (2026)

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

Model-Based Offline Reinforcement Learning with Adversarial Data Augmentation
by: Cao, Hongye, et al.
Published: (2025)

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
by: Yang, Yiqin, et al.
Published: (2026)

Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
by: Zhan, Simon Sinong, et al.
Published: (2025)

TraCeS: Trajectory Based Credit Assignment From Sparse Safety Feedback
by: Low, Siow Meng, et al.
Published: (2025)

Score Broadcast and Decorrelation: A General Framework for Broadcast-Based Credit Assignment
by: Uzun, Mustafa, et al.
Published: (2026)

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

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
by: Choi, Heewoong, et al.
Published: (2024)

MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator
by: Liu, Xiao-Yin, et al.
Published: (2023)

Policy-Based Trajectory Clustering in Offline Reinforcement Learning
by: Hu, Hao, et al.
Published: (2025)

Offline Model-Based Reinforcement Learning with Anti-Exploration
by: Srinivasan, Padmanaba, et al.
Published: (2024)

SEABO: A Simple Search-Based Method for Offline Imitation Learning
by: Lyu, Jiafei, et al.
Published: (2024)

Challenges in Credit Assignment for Multi-Agent Reinforcement Learning in Open Agent Systems
by: Abadi, Alireza Saleh, et al.
Published: (2025)

From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026)

Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?
by: Omori, Yumi, et al.
Published: (2025)

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
by: Tu, Songjun, et al.
Published: (2024)

The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
by: Sims, Anya, et al.
Published: (2024)

SOLAR-RL: Semi-Online Long-horizon Assignment Reinforcement Learning
by: Wang, Jichao, et al.
Published: (2026)

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models
by: Monsefi, Amin Karimi, et al.
Published: (2026)

Exact Is Easier: Credit Assignment for Cooperative LLM Agents
by: Chen, Yanjun, et al.
Published: (2026)

Intrinsic Credit Assignment for Long Horizon Interaction
by: Auzina, Ilze Amanda, et al.
Published: (2026)

Hindsight Credit Assignment for Long-Horizon LLM Agents
by: Tan, Hui-Ze, et al.
Published: (2026)

Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
by: He, Shenghong
Published: (2025)

Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach
by: Pan, Minting, et al.
Published: (2025)

Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2024)

Manifold-Constrained Energy-Based Transition Models for Offline Reinforcement Learning
by: Fang, Zeyu, et al.
Published: (2026)

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
by: Driss, Brahim, et al.
Published: (2025)

MOBODY: Model Based Off-Dynamics Offline Reinforcement Learning
by: Guo, Yihong, et al.
Published: (2025)

Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)