Cover Image

Online Reinforcement Learning with Passive Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pattanaik, Anay, Varshney, Lav R.
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SparseJEPA: Sparse Representation Learning of Joint Embedding Predictive Architectures
by: Hartman, Max, et al.
Published: (2025)

A Meta-Learning Perspective on Transformers for Causal Language Modeling
by: Wu, Xinbo, et al.
Published: (2023)

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

Efficient Model-Agnostic Multi-Group Equivariant Networks
by: Baltaji, Razan, et al.
Published: (2023)

Beyond Pooling: Matching for Robust Generalization under Data Heterogeneity
by: Roy, Ayush, et al.
Published: (2026)

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search
by: Ellis-Mohr, Austin R., et al.
Published: (2025)

Combinatorial Creativity: A New Frontier in Generalization Abilities
by: Schapiro, Samuel, et al.
Published: (2025)

Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
by: Kaur, Navneet, et al.
Published: (2025)

Spark: A System for Scientifically Creative Idea Generation
by: Sanyal, Aishik, et al.
Published: (2025)

Memory Retention Is Not Enough to Master Memory Tasks in Reinforcement Learning
by: Shchendrigin, Oleg, et al.
Published: (2026)

Fed-SB: A Silver Bullet for Extreme Communication Efficiency and Performance in (Private) Federated LoRA Fine-Tuning
by: Singhal, Raghav, et al.
Published: (2025)

The Power of Resets in Online Reinforcement Learning
by: Mhammedi, Zakaria, et al.
Published: (2024)

Stackelberg Coupling of Online Representation Learning and Reinforcement Learning
by: Martinez, Fernando, et al.
Published: (2025)

Memory Allocation in Resource-Constrained Reinforcement Learning
by: Tamborski, Massimiliano, et al.
Published: (2025)

Edge-FIT: Federated Instruction Tuning of Quantized LLMs for Privacy-Preserving Smart Home Environments
by: Venkatesh, Vinay, et al.
Published: (2025)

On Language Generation in the Limit with Bounded Memory
by: Kleinberg, Jon, et al.
Published: (2026)

Kolmogorov-Arnold Network for Online Reinforcement Learning
by: Kich, Victor Augusto, et al.
Published: (2024)

Online Optimization for Offline Safe Reinforcement Learning
by: Chemingui, Yassine, et al.
Published: (2025)

Flow-Based Policy for Online Reinforcement Learning
by: Lv, Lei, et al.
Published: (2025)

Controllable Flow Matching for Online Reinforcement Learning
by: Wang, Bin, et al.
Published: (2025)

The Three Regimes of Offline-to-Online Reinforcement Learning
by: Li, Lu, et al.
Published: (2025)

Nonstationary Reinforcement Learning with Linear Function Approximation
by: Zhou, Huozhi, et al.
Published: (2020)

Quantifying Memory Use in Reinforcement Learning with Temporal Range
by: Lafuente-Mercado, Rodney, et al.
Published: (2025)

A New View on Planning in Online Reinforcement Learning
by: Roice, Kevin, et al.
Published: (2024)

Continual Reinforcement Learning by Planning with Online World Models
by: Liu, Zichen, et al.
Published: (2025)

Enhancing Reinforcement Learning Fine-Tuning with an Online Refiner
by: Ma, Hao, et al.
Published: (2026)

Adaptive Replay Buffer for Offline-to-Online Reinforcement Learning
by: Song, Chihyeon, et al.
Published: (2025)

Discrete Flow Matching for Offline-to-Online Reinforcement Learning
by: Khan, Fairoz Nower, et al.
Published: (2026)

Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges
by: Varshney, Kush R.
Published: (2023)

Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
by: Hartman, Max, et al.
Published: (2025)

Unlearning Clients, Features and Samples in Vertical Federated Learning
by: Varshney, Ayush K., et al.
Published: (2025)

Memory-Based Advantage Shaping for LLM-Guided Reinforcement Learning
by: Nourzad, Narjes, et al.
Published: (2026)

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
by: Yan, Kai, et al.
Published: (2024)

Offline-to-Online Reinforcement Learning with Classifier-Free Diffusion Generation
by: Huang, Xiao, et al.
Published: (2025)

Online Reinforcement Learning in Non-Stationary Context-Driven Environments
by: Hamadanian, Pouya, et al.
Published: (2023)

RLSynC: Offline-Online Reinforcement Learning for Synthon Completion
by: Baker, Frazier N., et al.
Published: (2023)

Flow Matching with Injected Noise for Offline-to-Online Reinforcement Learning
by: Shin, Yongjae, et al.
Published: (2026)

Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy
by: Cai, Ruichu, et al.
Published: (2024)

Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
by: Nilaksh, et al.
Published: (2026)

Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
by: Zhou, Yuhao, et al.
Published: (2025)