Cover Image

Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modeling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Sili, Hu, Jifeng, Yang, Zhejian, Yang, Liwei, Luo, Tao, Chen, Hechang, Sun, Lichao, Yang, Bo
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
by: Huang, Sili, et al.
Published: (2024)

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal
by: Hu, Jifeng, et al.
Published: (2024)

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning
by: Hu, Jifeng, et al.
Published: (2025)

Solving Continual Offline RL through Selective Weights Activation on Aligned Spaces
by: Hu, Jifeng, et al.
Published: (2024)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning
by: Guo, Siyuan, et al.
Published: (2023)

Decision Flow Policy Optimization
by: Hu, Jifeng, et al.
Published: (2025)

Decision Mamba: Reinforcement Learning via Sequence Modeling with Selective State Spaces
by: Ota, Toshihiro
Published: (2024)

Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning
by: Cao, Jiahang, et al.
Published: (2024)

TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model
by: Li, Yixing, et al.
Published: (2025)

Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning
by: Chen, Rufeng, et al.
Published: (2026)

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?
by: Dai, Yang, et al.
Published: (2024)

Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
by: Xu, Jiawei, et al.
Published: (2024)

MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning
by: Hu, Tianmeng, et al.
Published: (2026)

Generalizable Trajectory Prediction via Inverse Reinforcement Learning with Mamba-Graph Architecture
by: Li, Wenyun, et al.
Published: (2025)

Robust Offline Reinforcement Learning for Non-Markovian Decision Processes
by: Huang, Ruiquan, et al.
Published: (2024)

Graph-Mamba: Towards Long-Range Graph Sequence Modeling with Selective State Spaces
by: Wang, Chloe, et al.
Published: (2024)

Decision MetaMamba: Enhancing Selective SSM in Offline RL with Heterogeneous Sequence Mixing
by: Kim, Wall, et al.
Published: (2026)

Decision MetaMamba: Enhancing Selective SSM in Offline RL with Heterogeneous Sequence Mixing
by: Kim, Wall, et al.
Published: (2024)

Mamba: Linear-Time Sequence Modeling with Selective State Spaces
by: Gu, Albert, et al.
Published: (2023)

MambaLRP: Explaining Selective State Space Sequence Models
by: Jafari, Farnoush Rezaei, et al.
Published: (2024)

The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
by: Chen, Ruitao, et al.
Published: (2024)

Native Hybrid Attention for Efficient Sequence Modeling
by: Du, Jusen, et al.
Published: (2025)

Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
by: Huang, Jiayi, et al.
Published: (2023)

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models
by: Yuan, Haonan, et al.
Published: (2024)

Inductive Spatio-Temporal Kriging with Physics-Guided Increment Training Strategy for Air Quality Inference
by: Yang, Songlin, et al.
Published: (2025)

Collapsing Sequence-Level Data-Policy Coverage via Poisoning Attack in Offline Reinforcement Learning
by: Zhou, Xue, et al.
Published: (2025)

Towards an Adaptable and Generalizable Optimization Engine in Decision and Control: A Meta Reinforcement Learning Approach
by: Yang, Sungwook, et al.
Published: (2024)

HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling
by: Yang, Hexiong, et al.
Published: (2025)

Solving Continual Offline Reinforcement Learning with Decision Transformer
by: Huang, Kaixin, et al.
Published: (2024)

HybriDNA: A Hybrid Transformer-Mamba2 Long-Range DNA Language Model
by: Ma, Mingqian, et al.
Published: (2025)

Plug and Play Active Learning for Object Detection
by: Yang, Chenhongyi, et al.
Published: (2022)

ELO-Rated Sequence Rewards: Advancing Reinforcement Learning Models
by: Ju, Qi, et al.
Published: (2024)

Robust Learning under Hybrid Noise
by: Wei, Yang, et al.
Published: (2024)

UAV-Assisted Multi-Task Federated Learning with Task Knowledge Sharing
by: Yang, Yubo, et al.
Published: (2025)

Max-Entropy Reinforcement Learning with Flow Matching and A Case Study on LQR
by: Zhang, Yuyang, et al.
Published: (2025)

TGSBM: Transformer-Guided Stochastic Block Model for Link Prediction
by: Yang, Zhejian, et al.
Published: (2026)

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

Deep Reinforcement Learning with Hybrid Intrinsic Reward Model
by: Yuan, Mingqi, et al.
Published: (2025)

Conditional Sequence Modeling for Safe Reinforcement Learning
by: Bai, Wensong, et al.
Published: (2026)

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
by: Yang, Ningyuan, et al.
Published: (2026)