Difference between revisions of "Game Theory"
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Game Theory is a branch of mathematics used to model the strategic interaction between different players in a context with predefined rules and outcomes. Game Theory can be applied in different ambit of Artificial Intelligence: | Game Theory is a branch of mathematics used to model the strategic interaction between different players in a context with predefined rules and outcomes. Game Theory can be applied in different ambit of Artificial Intelligence: | ||
| − | * Multi-agent AI systems. | + | * [[Multi-agent]] AI systems. |
* Imitation and [[Reinforcement Learning (RL)]]. | * Imitation and [[Reinforcement Learning (RL)]]. | ||
* Adversary training in [[Generative Adversarial Network (GAN)]]s. | * Adversary training in [[Generative Adversarial Network (GAN)]]s. | ||
Revision as of 18:39, 5 July 2020
Youtube search... ...Google search
- Reinforcement Learning (RL)
- Gaming
- Deep Distributed Q Network Partial Observability
- Markov Decision Process (MDP)
Game Theory is a branch of mathematics used to model the strategic interaction between different players in a context with predefined rules and outcomes. Game Theory can be applied in different ambit of Artificial Intelligence:
- Multi-agent AI systems.
- Imitation and Reinforcement Learning (RL).
- Adversary training in Generative Adversarial Network (GAN)s.
Game Theory can also be used to describe many situations in our daily life and Machine Learning models. Game Theory in Artificial Intelligence | Pier Paolo Ippolito - Towards Data Science
