Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | He, Jinmin, Li, Kai, Zang, Yifan, Fu, Haobo, Fu, Qiang, Xing, Junliang, Cheng, Jian |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
by: He, Jinmin, et al.
Published: (2025)
by: He, Jinmin, et al.
Published: (2025)
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
by: He, Jinmin, et al.
Published: (2023)
by: He, Jinmin, et al.
Published: (2023)
Abstraction for Offline Goal-Conditioned Reinforcement Learning
by: Wibault, Clarisse, et al.
Published: (2026)
by: Wibault, Clarisse, et al.
Published: (2026)
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
by: Kim, Donghoon, et al.
Published: (2024)
by: Kim, Donghoon, et al.
Published: (2024)
Deep (Predictive) Discounted Counterfactual Regret Minimization
by: Xu, Hang, et al.
Published: (2025)
by: Xu, Hang, et al.
Published: (2025)
Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
by: Wang, Liangzhou, et al.
Published: (2024)
by: Wang, Liangzhou, et al.
Published: (2024)
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
by: Xu, Hang, et al.
Published: (2024)
by: Xu, Hang, et al.
Published: (2024)
Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)
by: Qiao, RuiXi, et al.
Published: (2025)
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
by: Fan, Ziqing, et al.
Published: (2024)
by: Fan, Ziqing, et al.
Published: (2024)
GOPlan: Goal-conditioned Offline Reinforcement Learning by Planning with Learned Models
by: Wang, Mianchu, et al.
Published: (2023)
by: Wang, Mianchu, et al.
Published: (2023)
Goal-Conditioned Data Augmentation for Offline Reinforcement Learning
by: Huang, Xingshuai, et al.
Published: (2024)
by: Huang, Xingshuai, et al.
Published: (2024)
Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
by: Cao, Chenyang, et al.
Published: (2024)
by: Cao, Chenyang, et al.
Published: (2024)
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
by: Wu, Lisheng, et al.
Published: (2024)
by: Wu, Lisheng, et al.
Published: (2024)
Model-Based Reinforcement Learning with Multi-Task Offline Pretraining
by: Pan, Minting, et al.
Published: (2023)
by: Pan, Minting, et al.
Published: (2023)
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
by: Yang, Hanlin, et al.
Published: (2024)
by: Yang, Hanlin, et al.
Published: (2024)
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
by: Sikchi, Harshit, et al.
Published: (2023)
by: Sikchi, Harshit, et al.
Published: (2023)
Preference Goal Tuning: Post-Training as Latent Control for Frozen Policies
by: Zhao, Guangyu, et al.
Published: (2024)
by: Zhao, Guangyu, et al.
Published: (2024)
Pessimistic Value Iteration for Multi-Task Data Sharing in Offline Reinforcement Learning
by: Bai, Chenjia, et al.
Published: (2024)
by: Bai, Chenjia, et al.
Published: (2024)
Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning
by: Wang, Shudong, et al.
Published: (2025)
by: Wang, Shudong, et al.
Published: (2025)
Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)
by: Du, Hung, et al.
Published: (2025)
Option-aware Temporally Abstracted Value for Offline Goal-Conditioned Reinforcement Learning
by: Ahn, Hongjoon, et al.
Published: (2025)
by: Ahn, Hongjoon, et al.
Published: (2025)
Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation
by: Liu, Sicong, et al.
Published: (2025)
by: Liu, Sicong, et al.
Published: (2025)
When Do Skills Help Reinforcement Learning? A Theoretical Analysis of Temporal Abstractions
by: Li, Zhening, et al.
Published: (2024)
by: Li, Zhening, et al.
Published: (2024)
Learning with Expert Abstractions for Efficient Multi-Task Continuous Control
by: Jewett, Jeff, et al.
Published: (2025)
by: Jewett, Jeff, et al.
Published: (2025)
Dense and Diverse Goal Coverage in Multi Goal Reinforcement Learning
by: Singh, Sagalpreet, et al.
Published: (2025)
by: Singh, Sagalpreet, et al.
Published: (2025)
Contrastive Abstraction for Reinforcement Learning
by: Patil, Vihang, et al.
Published: (2024)
by: Patil, Vihang, et al.
Published: (2024)
Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning
by: Park, Junseok, et al.
Published: (2024)
by: Park, Junseok, et al.
Published: (2024)
Variational Offline Multi-agent Skill Discovery
by: Chen, Jiayu, et al.
Published: (2024)
by: Chen, Jiayu, et al.
Published: (2024)
Offline Reinforcement Learning with Imbalanced Datasets
by: Jiang, Li, et al.
Published: (2023)
by: Jiang, Li, et al.
Published: (2023)
Using Curiosity for an Even Representation of Tasks in Continual Offline Reinforcement Learning
by: Pathmanathan, Pankayaraj, et al.
Published: (2023)
by: Pathmanathan, Pankayaraj, et al.
Published: (2023)
Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
by: Wang, Changhong, et al.
Published: (2024)
by: Wang, Changhong, et al.
Published: (2024)
Offline Trajectory Optimization for Offline Reinforcement Learning
by: Zhao, Ziqi, et al.
Published: (2024)
by: Zhao, Ziqi, et al.
Published: (2024)
Policy-regularized Offline Multi-objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
Proposing Hierarchical Goal-Conditioned Policy Planning in Multi-Goal Reinforcement Learning
by: Rens, Gavin B.
Published: (2025)
by: Rens, Gavin B.
Published: (2025)
Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis
by: Zadem, Mehdi, et al.
Published: (2023)
by: Zadem, Mehdi, et al.
Published: (2023)
Deep Reinforcement Learning with Task-Adaptive Retrieval via Hypernetwork
by: Jin, Yonggang, et al.
Published: (2023)
by: Jin, Yonggang, et al.
Published: (2023)
Model-Based Offline Reinforcement Learning with Reliability-Guaranteed Sequence Modeling
by: He, Shenghong
Published: (2025)
by: He, Shenghong
Published: (2025)
Learning Markov State Abstractions for Deep Reinforcement Learning
by: Allen, Cameron, et al.
Published: (2021)
by: Allen, Cameron, et al.
Published: (2021)
Reconciling Spatial and Temporal Abstractions for Goal Representation
by: Zadem, Mehdi, et al.
Published: (2024)
by: Zadem, Mehdi, et al.
Published: (2024)
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
by: Lin, Qian, et al.
Published: (2024)
by: Lin, Qian, et al.
Published: (2024)
Similar Items
-
Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
by: He, Jinmin, et al.
Published: (2025) -
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
by: He, Jinmin, et al.
Published: (2023) -
Abstraction for Offline Goal-Conditioned Reinforcement Learning
by: Wibault, Clarisse, et al.
Published: (2026) -
Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
by: Kim, Donghoon, et al.
Published: (2024) -
Deep (Predictive) Discounted Counterfactual Regret Minimization
by: Xu, Hang, et al.
Published: (2025)