What is a plan-and-solve?
An agentic strategy where the model first drafts an explicit, multi-step plan before attempting to execute any actions.
plan-and-solve explained in plain English
Example
Practitioners refer to plan-and-solve when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
People also read
- act
A stage in the agentic loop in which the agent executes the action chosen during the reason stage.
- action
In reinforcement learning, the mechanism by which the agent transitions between states of the environment.
- action space
The set of resources an agent can use to perform a task.
- Agent
An AI system that can perceive its environment, make decisions, and take actions to achieve goals autonomously.
- agent orchestration
The centralized management and routing of tasks across multiple sub-agents or LLM calls.
- agentic
The adjective form of agent.
- agentic loop
A cycle that an agent iterates through until a termination condition is met.
- agentic workflow
A dynamic process in which an agent autonomously plans and executes actions to achieve a goal.
- autonomous agent
An agent that works towards a complex goal by planning, acting, and adapting without continuous human intervention.
- environment
In reinforcement learning, the world that contains the agent and allows the agent to observe that world's state.