ReAct: Synergizing Reasoning and Acting in Language Models
What this work does
Interleaves language reasoning, environment actions and returned observations in one trajectory, using prompting and optional fine-tuning.
Connection to discovery
A basic action/observation protocol for instrumenting discovery trajectories and comparing reasoning-only with interactive evidence acquisition.
Evidence
Inspected the history-conditioned policy formulation, QA comparisons and ALFWorld/WebShop evaluation setup.
Scope and limitations
Retrieving existing answers and completing prescribed tasks do not establish discovery. Example trajectories and tool availability are part of the effective policy.
THE RESEARCH CONVERSATION
Discussion & reactions
Share a question, an insight, or a replication experience. Sign in with GitHub to join the conversation.