Copertina

Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kim, Jeongmo, Park, Yisak, Kim, Minung, Han, Seungyul
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Bridging Domain Gaps with Target-Aligned Generation for Offline Reinforcement Learning
di: Kim, Minung, et al.
Pubblicazione: (2026)

Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning
di: Hwang, Jaebak, et al.
Pubblicazione: (2025)

LLM-Guided Communication for Cooperative Multi-Agent Reinforcement Learning
di: Bae, Sangjun, et al.
Pubblicazione: (2026)

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations
di: Kim, Minung, et al.
Pubblicazione: (2025)

Focusing Influence Mechanism for Multi-Agent Reinforcement Learning
di: Park, Yisak, et al.
Pubblicazione: (2025)

Flow Actor-Critic for Offline Reinforcement Learning
di: Chae, Jongseong, et al.
Pubblicazione: (2026)

Exclusively Penalized Q-learning for Offline Reinforcement Learning
di: Yeom, Junghyuk, et al.
Pubblicazione: (2024)

Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
di: Rimon, Zohar, et al.
Pubblicazione: (2022)

Interaction-Breaking Adversarial Learning Framework for Robust Multi-Agent Reinforcement Learning
di: Lee, Sunwoo, et al.
Pubblicazione: (2026)

Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning
di: Fan, Ziqing, et al.
Pubblicazione: (2024)

Task-Distributionally Robust Data-Free Meta-Learning
di: Hu, Zixuan, et al.
Pubblicazione: (2023)

Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
di: Khajooeinejad, Arash, et al.
Pubblicazione: (2024)

Can In-context Learning Really Generalize to Out-of-distribution Tasks?
di: Wang, Qixun, et al.
Pubblicazione: (2024)

Task Addition in Multi-Task Learning by Geometrical Alignment
di: Yim, Soorin, et al.
Pubblicazione: (2024)

Supplement Generation Training for Enhancing Agentic Task Performance
di: Cho, Young Min, et al.
Pubblicazione: (2026)

Directed-MAML: Meta Reinforcement Learning Algorithm with Task-directed Approximation
di: Zhang, Yang, et al.
Pubblicazione: (2025)

Wolfpack Adversarial Attack for Robust Multi-Agent Reinforcement Learning
di: Lee, Sunwoo, et al.
Pubblicazione: (2025)

Intrinsic Task Symmetry Drives Generalization in Algorithmic Tasks
di: Hwang, Hyeonbin, et al.
Pubblicazione: (2026)

Task Scheduling & Forgetting in Multi-Task Reinforcement Learning
di: Speckmann, Marc, et al.
Pubblicazione: (2025)

Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation
di: Kim, Donghwan, et al.
Pubblicazione: (2026)

Towards Understanding the Role of Sharpness-Aware Minimization Algorithms for Out-of-Distribution Generalization
di: Schapiro, Samuel, et al.
Pubblicazione: (2024)

Meta-Learning for Cross-Task Generalization in Protein Mutation Property Prediction
di: Badrinarayanan, Srivathsan, et al.
Pubblicazione: (2025)

Set-based Meta-Interpolation for Few-Task Meta-Learning
di: Lee, Seanie, et al.
Pubblicazione: (2022)

Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance
di: He, Jinmin, et al.
Pubblicazione: (2025)

Scalable Multi-Task Transfer Learning for Molecular Property Prediction
di: Lee, Chanhui, et al.
Pubblicazione: (2024)

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
di: Qian, Fuyuan, et al.
Pubblicazione: (2026)

TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
di: Qi, Chenyang, et al.
Pubblicazione: (2025)

Projected Task-Specific Layers for Multi-Task Reinforcement Learning
di: Roberts, Josselin Somerville, et al.
Pubblicazione: (2023)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
di: Wang, Changhong, et al.
Pubblicazione: (2024)

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
di: Cho, Seongwoong, et al.
Pubblicazione: (2024)

Bellman Unbiasedness: Toward Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation
di: Cho, Taehyun, et al.
Pubblicazione: (2024)

Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization
di: Wang, Song, et al.
Pubblicazione: (2025)

Group Fairness in Multi-Task Reinforcement Learning
di: Song, Kefan, et al.
Pubblicazione: (2025)

MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training
di: Kim, Yongwan, et al.
Pubblicazione: (2026)

Unsupervised Episode Generation for Graph Meta-learning
di: Jung, Jihyeong, et al.
Pubblicazione: (2023)

How Transformers Learn In-Context Recall Tasks? Optimality, Training Dynamics and Generalization
di: Nguyen, Quan, et al.
Pubblicazione: (2025)

Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
di: Zhang, Hai, et al.
Pubblicazione: (2024)

Efficient Multi-Task Reinforcement Learning via Task-Specific Action Correction
di: Feng, Jinyuan, et al.
Pubblicazione: (2024)

Task Specific Sharpness Aware O-RAN Resource Management using Multi Agent Reinforcement Learning
di: Lotfi, Fatemeh, et al.
Pubblicazione: (2025)

Multi-Task Reinforcement Learning Enables Parameter Scaling
di: McLean, Reginald, et al.
Pubblicazione: (2025)