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 ...

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.

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

To cope with this complexity, cold-atom physicists have begun exploring ways of using machine learning to augment their experiments. In 2018, for example, a team at the Australian National University ...