·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Meta signs first AI data center deal in India with Reliance3h◆BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression6h◆Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning6h◆Integral Field Unit Spectroscopy with One Fiber6h◆AMEL: Accumulated Message Effects on LLM Judgments6h◆Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care6h◆From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG6h◆Operator Fusion for LLM Inference on the Tensix Architecture6h◆TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification6h◆Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update6h◆Domain Adapted Large Language Models for Additive Manufacturing6h◆Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring6h◆Finer is Better (with the Right Scaling)6h◆Deployment-Time Memorization in Foundation-Model Agents6h◆Business World Model6h◆Exploratory Responsiveness and Adaptive Rigidity under AI-Assisted Optimization6h◆Predictive Assistance and the Temporal Dynamics of Exploratory Compression6h◆From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs6h◆Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents6h◆Minimalist Genetic Programming6h◆Meta signs first AI data center deal in India with Reliance3h◆BiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression6h◆Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning6h◆Integral Field Unit Spectroscopy with One Fiber6h◆AMEL: Accumulated Message Effects on LLM Judgments6h◆Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care6h◆From Volume to Value: Preference-Aligned Memory Construction for On-Device RAG6h◆Operator Fusion for LLM Inference on the Tensix Architecture6h◆TRAPS: Therapeutic Response Analysis via Pathway-informed Stratification6h◆Population-Aware Physics-Informed Neural Particle Flow for Bayesian Update6h◆Domain Adapted Large Language Models for Additive Manufacturing6h◆Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring6h◆Finer is Better (with the Right Scaling)6h◆Deployment-Time Memorization in Foundation-Model Agents6h◆Business World Model6h◆Exploratory Responsiveness and Adaptive Rigidity under AI-Assisted Optimization6h◆Predictive Assistance and the Temporal Dynamics of Exploratory Compression6h◆From Senses to Decisions: The Information Flow of Auditory and Visual Perception in Multimodal LLMs6h◆Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents6h◆Minimalist Genetic Programming6h◆
News/Moment Matching Q-Learning
arxiv
PublishedMay 29, 2026 at 4:00 AM
▲bullish

Moment Matching Q-Learning

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.29033v1 Announce Type: new Abstract: Score-based and flow-based generative models exhibit remarkable expressive capacity in capturing complex distributions, and have been extensively deployed in tasks ranging from image generation to reinforcement learning. Nevertheless, these models suff

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#reinforcement-learning#generative-models#efficiency

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#reinforcement-learning#generative-models#efficiency

Related coverage

More from ARXIV
arxivBiWM: Advancing Open-Source Interactive Video World Models with Bidirectional Autoregression6harxivFisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning6harxivIntegral Field Unit Spectroscopy with One Fiber6harxivAMEL: Accumulated Message Effects on LLM Judgments6h
The Bubble Brief
WEEKLY

Read reinforcement-learning insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews