·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance1h◆Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study1h◆Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents1h◆Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents1h◆Is manual software optimization a thing of the past?1h◆HandAnthro: Automated Hand Anthropometry from a Single Image1h◆It's Not What the Image Shows: Irrelevant Context Destabilises VLM Judges Without Informing Them1h◆AgentBug-Smith: Automatically Reproducing Real-World Harness Bugs in Agentic Systems1h◆Learning Beyond What You Sample: Off-Policy-Aware Cross-Model Trajectory Exchange for RLVR1h◆ExceptionDrive: A Planning-Oriented Counterfactual Corner-Case Benchmark for Autonomous Driving1h◆Boids of a Feather Flock Together - Evolving Prey Behaviours Under Different Predator Attack Strategies1h◆Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction1h◆Generated Query Expansion Still Helps Strong Sparse Retrieval: A Controlled Study with SPLADE-v31h◆The Unequal Influence of Bad Advice: Using Training Data Attribution to Modulate Emergent Misalignment1h◆RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust1h◆Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation1h◆Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark1h◆Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks1h◆On Trajectory-Aware Training for Masked Diffusion Language Models1h◆$S^3$: Spectral Null-Space Swap Makes Reasoning Models Efficient1h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance1h◆Pixel-Level Transformers in Remote Sensing: A Canopy Height Case Study1h◆Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents1h◆Making Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents1h◆Is manual software optimization a thing of the past?1h◆HandAnthro: Automated Hand Anthropometry from a Single Image1h◆It's Not What the Image Shows: Irrelevant Context Destabilises VLM Judges Without Informing Them1h◆AgentBug-Smith: Automatically Reproducing Real-World Harness Bugs in Agentic Systems1h◆Learning Beyond What You Sample: Off-Policy-Aware Cross-Model Trajectory Exchange for RLVR1h◆ExceptionDrive: A Planning-Oriented Counterfactual Corner-Case Benchmark for Autonomous Driving1h◆Boids of a Feather Flock Together - Evolving Prey Behaviours Under Different Predator Attack Strategies1h◆Beyond Interaction Capacity: Estimator Scaling with Recursive Models for CTR Prediction1h◆Generated Query Expansion Still Helps Strong Sparse Retrieval: A Controlled Study with SPLADE-v31h◆The Unequal Influence of Bad Advice: Using Training Data Attribution to Modulate Emergent Misalignment1h◆RLX: A Unified Multi-Backend Tensor Compiler and Distributed Runtime in Rust1h◆Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation1h◆Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark1h◆Dagger: Decoupling-based Model Stealing Attack against Graph Neural Networks1h◆On Trajectory-Aware Training for Masked Diffusion Language Models1h◆$S^3$: Spectral Null-Space Swap Makes Reasoning Models Efficient1h◆
News/PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning
arxiv
PublishedSeptember 30, 2026 at 4:00 AM

PowerZooJax: A JAX-based Power System Benchmark for Reinforcement Learning

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

arXiv:2609.36052v1 Announce Type: new Abstract: Power system operation is a safety-critical sequential decision-making problem, making it a natural testbed for reinforcement learning (RL). However, existing RL environments for power systems are often narrow in scope and computationally limited by CP

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 →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivPredictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance1harxivPixel-Level Transformers in Remote Sensing: A Canopy Height Case Study1harxivExplore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents1harxivMaking Duplicate Reimbursement Unrepresentable: A Verified Ethereum E-Invoice System for Humans and AI Agents1h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

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

Originally published on arxiv ↗
Built by Marouane Gazouzi
HomeModelsNews