·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Judge dismisses Sam Altman’s sister’s sexual abuse lawsuit1h◆Anthropic pitches AI safety bill that may block a model if 50+ people could be killed1h◆Hugging Face CEO warns that Netflix’s OpenAI hack documentary isn’t accurate2h◆Google’s more personalized Gemini AI is heading to your car2h◆Anthropic’s cloud partnerships are getting messy3h◆SpaceX’s AI business is beating expectations3h◆OpenAI acquires startup Orchestra Bio⁠ to beef up its biotech business4h◆Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers6h◆ChatGPT now lets you lock your chats6h◆NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation6h◆Meta pauses Muse sharing after researchers find AI chats on the web6h◆Eric Schmidt reportedly owns about half as much of Anthropic as CEO Dario Amodei6h◆Meta’s Muse hits 10M U.S. downloads in 40 days, a milestone reached by only 11 other apps7h◆FairStress: A deeper evaluation of fairness in LLM decision-making8h◆Plants can speak using electricity, so this startup built an AI model to decipher their language8h◆The new economics of enterprise AI9h◆ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model9h◆Spotify pulled 50 million AI slop and spam tracks from its recommendations10h◆Figma co-founder Dylan Field thinks MCP is not a perfect protocol10h◆US orders federal agencies to remove China’s DeepSeek AI from their systems11h◆Judge dismisses Sam Altman’s sister’s sexual abuse lawsuit1h◆Anthropic pitches AI safety bill that may block a model if 50+ people could be killed1h◆Hugging Face CEO warns that Netflix’s OpenAI hack documentary isn’t accurate2h◆Google’s more personalized Gemini AI is heading to your car2h◆Anthropic’s cloud partnerships are getting messy3h◆SpaceX’s AI business is beating expectations3h◆OpenAI acquires startup Orchestra Bio⁠ to beef up its biotech business4h◆Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers6h◆ChatGPT now lets you lock your chats6h◆NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation6h◆Meta pauses Muse sharing after researchers find AI chats on the web6h◆Eric Schmidt reportedly owns about half as much of Anthropic as CEO Dario Amodei6h◆Meta’s Muse hits 10M U.S. downloads in 40 days, a milestone reached by only 11 other apps7h◆FairStress: A deeper evaluation of fairness in LLM decision-making8h◆Plants can speak using electricity, so this startup built an AI model to decipher their language8h◆The new economics of enterprise AI9h◆ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model9h◆Spotify pulled 50 million AI slop and spam tracks from its recommendations10h◆Figma co-founder Dylan Field thinks MCP is not a perfect protocol10h◆US orders federal agencies to remove China’s DeepSeek AI from their systems11h◆
News/Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning
arxiv
PublishedMay 8, 2026 at 4:00 AM
—neutral

Neural Co-state Policies: Structuring Hidden States in Recurrent Reinforcement Learning

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

arXiv:2605.05373v1 Announce Type: new Abstract: A key capability of intelligent agents is operating under partial observability: reasoning and acting effectively despite missing or incomplete state observations. While recurrent (memory-based) policies learned via reinforcement learning address this

Stay posted· Newsletter

Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.

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

Your email is used only to send The Bubble Brief. Privacy policy

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#reinforcement-learning#optimal-control#partial-observability

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#reinforcement-learning#optimal-control#partial-observability
The Bubble Brief
MON · WED · FRI

Read reinforcement-learning insights every Monday, Wednesday and Friday — top movers, new models, story of the week.

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

Your email is used only to send The Bubble Brief. Privacy policy

Originally published on arxiv ↗
PrivacyTermsRefundsLegal notice|AboutMethodologyContact

© 2026 Databubble

Built by Marouane Gazouzi · Readyo, AI interview coach

HomeModelsNews