Cover Image

Cross-domain Random Pre-training with Prototypes for Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Xin, Chen, Yaran, Li, Haoran, Li, Boyu, Zhao, Dongbin
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning
by: Liu, Xin, et al.
Published: (2024)

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
by: Liu, Xin, et al.
Published: (2023)

RoboGPT: an intelligent agent of making embodied long-term decisions for daily instruction tasks
by: Chen, Yaran, et al.
Published: (2023)

Discretizing Continuous Action Space with Unimodal Probability Distributions for On-Policy Reinforcement Learning
by: Zhu, Yuanyang, et al.
Published: (2024)

Hybrid Cross-domain Robust Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

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

Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization
by: Li, Haoran, et al.
Published: (2024)

Pre-training with Synthetic Data Helps Offline Reinforcement Learning
by: Wang, Zecheng, et al.
Published: (2023)

Heterogeneity-Aware Coordination for Federated Learning via Stitching Pre-trained blocks
by: Zhan, Shichen, et al.
Published: (2024)

A Survey of Cross-domain Graph Learning: Progress and Future Directions
by: Zhao, Haihong, et al.
Published: (2025)

Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation Learning
by: Gong, Letian, et al.
Published: (2024)

Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Model
by: Tu, Songjun, et al.
Published: (2024)

RLAE: Reinforcement Learning-Assisted Ensemble for LLMs
by: Fu, Yuqian, et al.
Published: (2025)

Graph Generative Pre-trained Transformer
by: Chen, Xiaohui, et al.
Published: (2025)

Multi-modal Cross-domain Self-supervised Pre-training for fMRI and EEG Fusion
by: Wei, Xinxu, et al.
Published: (2024)

From $P(y|x)$ to $P(y)$: Investigating Reinforcement Learning in Pre-train Space
by: Tan, Yuqiao, et al.
Published: (2026)

Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner
by: Fan, Chenyou, et al.
Published: (2024)

GraphGPT: Generative Pre-trained Graph Eulerian Transformer
by: Zhao, Qifang, et al.
Published: (2023)

RoboGPT-R1: Enhancing Robot Planning with Reinforcement Learning
by: Liu, Jinrui, et al.
Published: (2025)

A Pre-trained Data Deduplication Model based on Active Learning
by: Shi, Haochen, et al.
Published: (2023)

Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
by: Liu, Zhanyu, et al.
Published: (2024)

Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
by: Li, Dan, et al.
Published: (2025)

Offline Reinforcement Learning with Imbalanced Datasets
by: Jiang, Li, et al.
Published: (2023)

CRIA: A Cross-View Interaction and Instance-Adapted Pre-training Framework for Generalizable EEG Representations
by: Liu, Puchun, et al.
Published: (2025)

Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
by: Chen, Boyu, et al.
Published: (2024)

Open World Knowledge Aided Single-Cell Foundation Model with Robust Cross-Modal Cell-Language Pre-training
by: Wang, Haoran, et al.
Published: (2026)

Generative Pre-Trained Transformer for Symbolic Regression Base In-Context Reinforcement Learning
by: Li, Yanjie, et al.
Published: (2024)

Knockoff-Guided Feature Selection via A Single Pre-trained Reinforced Agent
by: Wang, Xinyuan, et al.
Published: (2024)

Parallel Structures in Pre-training Data Yield In-Context Learning
by: Chen, Yanda, et al.
Published: (2024)

An Efficient Replay for Class-Incremental Learning with Pre-trained Models
by: Yin, Weimin, et al.
Published: (2024)

HRLAIF: Improvements in Helpfulness and Harmlessness in Open-domain Reinforcement Learning From AI Feedback
by: Li, Ang, et al.
Published: (2024)

Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning
by: Song, Ziyang, et al.
Published: (2024)

GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning
by: Liu, Chuang, et al.
Published: (2026)

Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)

Prompt Tuning with Diffusion for Few-Shot Pre-trained Policy Generalization
by: Hu, Shengchao, et al.
Published: (2024)

Pre-trained Molecular Language Models with Random Functional Group Masking
by: Peng, Tianhao, et al.
Published: (2024)

Reinforcement Learning on Pre-Training Data
by: Li, Siheng, et al.
Published: (2025)

DmC: Nearest Neighbor Guidance Diffusion Model for Offline Cross-domain Reinforcement Learning
by: Van, Linh Le Pham, et al.
Published: (2025)

Demystifying Design Choices of Reinforcement Fine-tuning: A Batched Contextual Bandit Learning Perspective
by: Xie, Hong, et al.
Published: (2026)

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing
by: Toral, Lukas, et al.
Published: (2025)