Historical milestone · 2023
ReAct
Reviewed through September 18, 2026
2023 · Historical milestone
ReAct
- Era
- 2020s
- Theme
- Agent planning & cognitive architectures
- Evidence form
- Prompting + interactive benchmarks
- School / paradigm
- Language-agent reasoning and acting
- Institution / context
- Princeton University; Google Research
- Researchers
- Shunyu Yao; collaborators
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Prompted language models to interleave reasoning traces with tool actions and environment observations.
Result / historical claim. Improved selected question-answering and interactive-agent results by letting observations update the next decision.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: Agent planning and cognitive architectures.
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. Prompting + interactive benchmarks
Limitation / debate. Reasoning traces are not guaranteed to be faithful, and benchmark tools and environments were relatively simple.
Source status. The source link below is the verified link our reviewed topic research already carries for this milestone.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is Agent planning and cognitive architectures.
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.