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Book VII · Chapter 3

Environments, multiple agents, and robotics

Design environments and reason about interacting agents and learned policies in the physical world.

Priority
Specialist
Difficulty
Advanced
Useful for
RS, RE, Post-training, Robotics
Interview rounds
Research work sample, System design

Read first: Policy optimization

Chapter contents

3 entries · read in order
  1. 01
    RL environments and graders for language-model agents
    Concept
  2. 02
    Multi-agent reinforcement learning
    Concept
  3. 03
    Robotics policy learning
    Concept