·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Amazon releases its own Jev clone as decision models flood the web39m◆Shopify debuts Canvas, a way to build online stores by chatting with AI44m◆How Albertsons Companies is reimagining retail from the inside out1h◆Brian Chesky interview: AI agents need their own operating system2h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs2h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?2h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.3h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle3h◆Hearing tech startup Legato launches its AI hearing glasses4h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites5h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions13h◆Consistent Plan-Act for Long-Horizon Agentic Tasks13h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance13h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure13h◆PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents13h◆TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization13h◆COMiT: Learning Structured Visual Tokens through Sequential Communication13h◆On the (In)effectiveness of AMR Augmentation for Large Language Models13h◆cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents13h◆Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation13h◆Amazon releases its own Jev clone as decision models flood the web39m◆Shopify debuts Canvas, a way to build online stores by chatting with AI44m◆How Albertsons Companies is reimagining retail from the inside out1h◆Brian Chesky interview: AI agents need their own operating system2h◆Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs2h◆OpenAI’s new agent is a shot at Meta — but can it compete with free?2h◆Photon held a funeral for mobile apps. Now it has $4.5M to help replace them with agents.3h◆Inside our months-long investigation into Kevin O’Leary’s Utah data center debacle3h◆Hearing tech startup Legato launches its AI hearing glasses4h◆Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites5h◆Reasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions13h◆Consistent Plan-Act for Long-Horizon Agentic Tasks13h◆Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance13h◆Boosting Adversarial Robustness and Generalization with Dictionary Structure13h◆PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents13h◆TED:Text-Axis Evidence Decomposition for Prompted Anomaly Localization13h◆COMiT: Learning Structured Visual Tokens through Sequential Communication13h◆On the (In)effectiveness of AMR Augmentation for Large Language Models13h◆cua-speedrun: Standardized Benchmarking of the Speed of Computer-Use Agents13h◆Compress to Remember: Learning Compact Memory via On-Policy Distillation for Long Video Generation13h◆
News/PUBG Ally: A Conversational Embodied Agent as an AI Teammate
arxiv
PublishedSeptember 29, 2026 at 4:00 AM
—neutral

PUBG Ally: A Conversational Embodied Agent as an AI Teammate

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

arXiv:2609.29837v2 Announce Type: replace Abstract: We introduce PUBG Ally, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a voice-enabled teammate. Building such a teammate requires combining two difficult capabilities: it must perceive an

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
arxivReasoning Externalization for Faithful Large Language Model Narratives of Stock Return Predictions13harxivConsistent Plan-Act for Long-Horizon Agentic Tasks13harxivPredictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance13harxivBoosting Adversarial Robustness and Generalization with Dictionary Structure13h
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