:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yuxuan, Kethireddy, Harshith Reddy, Das, Srijita
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2601.01904
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CANDERE-COACH: Reinforcement Learning from Noisy Feedback
par: Li, Yuxuan, et autres
Publié: (2024)

A Systematic Approach to Design Real-World Human-in-the-Loop Deep Reinforcement Learning: Salient Features, Challenges and Trade-offs
par: Arabneydi, Jalal, et autres
Publié: (2025)

Hindsight Preference Learning for Offline Preference-based Reinforcement Learning
par: Gao, Chen-Xiao, et autres
Publié: (2024)

RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
par: Cheng, Jie, et autres
Publié: (2024)

LEASE: Offline Preference-based Reinforcement Learning with High Sample Efficiency
par: Liu, Xiao-Yin, et autres
Publié: (2024)

Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
par: Choi, Heewoong, et autres
Publié: (2024)

Adversarial Policy Optimization for Offline Preference-based Reinforcement Learning
par: Kang, Hyungkyu, et autres
Publié: (2025)

Debiasing Online Preference Learning via Preference Feature Preservation
par: Kim, Dongyoung, et autres
Publié: (2025)

Residual Reward Models for Preference-based Reinforcement Learning
par: Cao, Chenyang, et autres
Publié: (2025)

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
par: Hong, Ilgee, et autres
Publié: (2024)

OPRIDE: Offline Preference-based Reinforcement Learning via In-Dataset Exploration
par: Yang, Yiqin, et autres
Publié: (2026)

Similarity as Reward Alignment: Robust and Versatile Preference-based Reinforcement Learning
par: Rajaram, Sara, et autres
Publié: (2025)

In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learning
par: Tu, Songjun, et autres
Publié: (2024)

Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards
par: Metcalf, Katherine, et autres
Publié: (2024)

Deep Reinforcement Learning from Hierarchical Preference Design
par: Bukharin, Alexander, et autres
Publié: (2023)

Preference Elicitation for Offline Reinforcement Learning
par: Pace, Alizée, et autres
Publié: (2024)

Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning
par: Zhang, Tianle, et autres
Publié: (2024)

Preference-based Reinforcement Learning beyond Pairwise Comparisons: Benefits of Multiple Options
par: Lee, Joongkyu, et autres
Publié: (2025)

Impact of Label Noise on Learning Complex Features
par: Vashisht, Rahul, et autres
Publié: (2024)

FLoRA: Fused forward-backward adapters for parameter efficient fine-tuning and reducing inference-time latencies of LLMs
par: Gowda, Dhananjaya, et autres
Publié: (2025)

Behavior Preference Regression for Offline Reinforcement Learning
par: Srinivasan, Padmanaba, et autres
Publié: (2025)

Hindsight Preference Replay Improves Preference-Conditioned Multi-Objective Reinforcement Learning
par: Shianifar, Jonaid, et autres
Publié: (2026)

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data
par: Xiao, Meng, et autres
Publié: (2025)

TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning
par: Li, Yuxuan, et autres
Publié: (2025)

Search-Based Credit Assignment for Offline Preference-Based Reinforcement Learning
par: Gao, Xiancheng, et autres
Publié: (2025)

GLIDE-RL: Grounded Language Instruction through DEmonstration in RL
par: Kharyal, Chaitanya, et autres
Publié: (2024)

Inverse Reinforcement Learning With Constraint Recovery
par: Das, Nirjhar, et autres
Publié: (2023)

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
par: Tu, Songjun, et autres
Publié: (2024)

Offline Reinforcement Learning with Penalized Action Noise Injection
par: Oh, JunHyeok, et autres
Publié: (2025)

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
par: He, Zhouyu, et autres
Publié: (2025)

Efficient Preference-based Reinforcement Learning via Aligned Experience Estimation
par: Bai, Fengshuo, et autres
Publié: (2024)

Two-Step Offline Preference-Based Reinforcement Learning with Constrained Actions
par: Xu, Yinglun, et autres
Publié: (2023)

Reinforcement Learning with Pairwise Preferences in Long-Term Decision Problems
par: Carr, Jonathan Colaço, et autres
Publié: (2026)

PB$^2$: Preference Space Exploration via Population-Based Methods in Preference-Based Reinforcement Learning
par: Driss, Brahim, et autres
Publié: (2025)

Safe Reinforcement Learning with Preference-based Constraint Inference
par: Li, Chenglin, et autres
Publié: (2026)

EdgeGFL: Rethinking Edge Information in Graph Feature Preference Learning
par: Zhuo, Shengda, et autres
Publié: (2025)

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
par: Shin, Yongjae, et autres
Publié: (2026)

TGPO: Tree-Guided Preference Optimization for Robust Web Agent Reinforcement Learning
par: Chen, Ziyuan, et autres
Publié: (2025)

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
par: Liu, Shuze Daniel, et autres
Publié: (2024)

Learning to Explore with Parameter-Space Noise: A Deep Dive into Parameter-Space Noise for Reinforcement Learning with Verifiable Rewards
par: Bai, Bizhe, et autres
Publié: (2026)