arxiv
PublishedOctober 3, 2026 at 4:00 AM
—neutral
Reward as Observation: Learning Reward-Based Policies for Rapid Adaptation
Publisher summary· verbatim
arXiv:2610.00729v1 Announce Type: new Abstract: This paper explores a reward-based policy to achieve zero-shot transfer between source and target environments with completely different observation spaces. While humans can demonstrate impressive adaptation capabilities, deep neural network policies o
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivSequential Capacity of Quantum Processes with Finite Memory16harxivQ-MINO: A Minimal-Norm Method for Quantization-Aware Training16harxivThe Price of Correlated Tests: How Strict Should a Model Release Gate Be?16harxivOpen Vocabulary Word Recognition From Transcribed Bangla Texts16hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗