Planning algorithms for agents
Planning is a fundamental capability of intelligent agents, enabling them to reason about their actions and devise strategies to achieve their objectives effectively. Planning algorithms form the backbone of how LLM agents determine and sequence their actions. An algorithm is a step-by-step set of instructions or rules designed to solve a specific problem or complete a task. It is a sequence of unambiguous and finite steps that takes inputs and produces an expected output in a finite amount of time.
There are several planning algorithms in AI, each with its own strengths and approaches. However, when working with LLM agents, we need to consider their practicality in handling natural language, uncertainty, and large state spaces (all possible situations or configurations that an agent might encounter during its task). For example, in a simple robot navigation task, state spaces might include all possible positions and orientations, but in LLM agents...
