·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
India’s MoEngage bets that the future of marketing is millions of AI agents1h◆Google Home will soon get better at recognizing you2h◆Hollywood is bending the knee to OpenAI3h◆Anthropic’s Claude Tag is learning your company, one Slack message at a time8h◆Why corporate AI super PACs spent $27 million on a local election8h◆How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery8h◆Something’s off with Midjourney’s pivot to body scanners9h◆The Fitbit Air takes a smarter approach to the AI health dumpster fire10h◆4 days left to save up to $190 on TechCrunch Founder Summit 202611h◆Sony’s AI Camera Assistant is exactly as bad as it looks11h◆Helping build shared standards for advanced AI12h◆Fika Jobs raises $4M to build a video-first hiring platform where AI agents interview candidates12h◆Meta launches cheaper smart glasses without Ray-Ban12h◆Build real agentic apps using CUGA: two dozen working examples on a lightweight harness12h◆The $400 million machine powering the future of chipmaking16h◆The running list: major tech layoffs in 2026 where employers cited AI23h◆OpenAI launches new initiative to help find and patch open source bugs1d◆Shipping huggingface_hub every week with AI, open tools, and a human in the loop1d◆Experimenting with the proposed Cross-Origin Storage API in Transformers.js1d◆How Omio is building the future of conversational travel1d◆India’s MoEngage bets that the future of marketing is millions of AI agents1h◆Google Home will soon get better at recognizing you2h◆Hollywood is bending the knee to OpenAI3h◆Anthropic’s Claude Tag is learning your company, one Slack message at a time8h◆Why corporate AI super PACs spent $27 million on a local election8h◆How GPT-5 helped immunologist Derya Unutmaz solve a 3-year-old mystery8h◆Something’s off with Midjourney’s pivot to body scanners9h◆The Fitbit Air takes a smarter approach to the AI health dumpster fire10h◆4 days left to save up to $190 on TechCrunch Founder Summit 202611h◆Sony’s AI Camera Assistant is exactly as bad as it looks11h◆Helping build shared standards for advanced AI12h◆Fika Jobs raises $4M to build a video-first hiring platform where AI agents interview candidates12h◆Meta launches cheaper smart glasses without Ray-Ban12h◆Build real agentic apps using CUGA: two dozen working examples on a lightweight harness12h◆The $400 million machine powering the future of chipmaking16h◆The running list: major tech layoffs in 2026 where employers cited AI23h◆OpenAI launches new initiative to help find and patch open source bugs1d◆Shipping huggingface_hub every week with AI, open tools, and a human in the loop1d◆Experimenting with the proposed Cross-Origin Storage API in Transformers.js1d◆How Omio is building the future of conversational travel1d◆
News/Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach
arxiv
PublishedMay 28, 2026 at 4:00 AM

Reward Transfer from Inverse Reinforcement Learning: A Coupled Minimax Approach

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

arXiv:2605.27834v1 Announce Type: new Abstract: We study the transfer of rewards learned using inverse reinforcement learning from expert demonstrations in one environment to reinforcement learning in a new, different environment. This arises naturally when demonstrations are collected in a controll

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 →
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 ↗
HomeModelsNews