Edge 411: Autonomous Agents with Episodic Memory
Capturing memories of important events in the lifecycle of an agent.
💡 ML Concept of the Day: Understanding Episodic Memory in Autonomous Agents
In the previous issue of our series about autonomous agents we introduced the concept of long-term memory and its different forms. Today, we would like to dive into one of those variations known as episodic memory.
In cognitive science, episodic memory enables humans to recall where they've been, what they've experienced, and the actions they've taken in different situations. This memory of past events is crucial for making informed decisions in the present. It helps individuals track the world beyond their immediate perception and learn from past experiences.
In the context of LLM agents, episodic memory involves three main processes: capturing and encoding experiences internally, storing these experiences for future use, and retrieving them when prompted by relevant cues.