Useful Context: Live recording of online meeting reviewing material from "Multi-Agent Reinforcement Learning: Foundations and Modern ... CS188 Artificial Intelligence UC Berkeley, Spring 2013 Instructor: Pieter Abbeel.
Lecture 6 Zero Sum Games - General What It Connects To
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General What It Connects To
Live recording of online meeting reviewing material from "Multi-Agent Reinforcement Learning: Foundations and Modern ... mixed strategies, where players randomize their choices, and explains how to represent and analyze them in
Resource Practical Overview
In this episode we talk about Jon von Neuman's 1928 minimax theorem for two-player CS188 Artificial Intelligence UC Berkeley, Spring 2013 Instructor: Pieter Abbeel.
Resource Main Considerations
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Quick reference points
- Live recording of online meeting reviewing material from "Multi-Agent Reinforcement Learning: Foundations and Modern ...
- CS188 Artificial Intelligence UC Berkeley, Spring 2013 Instructor: Pieter Abbeel.
- In this episode we talk about Jon von Neuman's 1928 minimax theorem for two-player
- mixed strategies, where players randomize their choices, and explains how to represent and analyze them in
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![(AGT1E6) [Game Theory] Zero-Sum Games: The Minimax Theorem](https://i.ytimg.com/vi/q6zKM13aVUI/mqdefault.jpg)
