Here are some use cases and applications for the seven types of agents: System Design: It’s important to choose the right ...

OpenAI is fully embracing this trend by introducing ChatGPT Agent on Thursday, describing it as a tool that uses its own ...

As for email agents, imagine a whimsical role-playing game (RPG), in which each agent-drafted email is a combat move, replies ...

For example, AlphaGo, developed by DeepMind, used reinforcement learning to master the game of Go, ... Key Characteristics of Reinforcement Learning: Agent and environment interaction: ...

a learning agent updates its policy after getting reward feedback the exact structure of a policy depends upon the implementation of the learner see Figure 22.1 (p. 832) for a good example of how to ...

For example, a reinforcement learning model that can play StarCraft 2 at an expert level won’t be able to play a game with similar mechanics (e.g., Warcraft 3) at any level of competency.

When Ang Li, co-founder of agent software biz Simular, started working at Google DeepMind in 2017, software engineers at the ...

The professional services company has created a 15-agent system used for marketing, for example, comprising three “super agents” that are responsible for coordinating 12 agents trained for ...