Difference between revisions of "Game Theory"
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* [[Reinforcement Learning (RL)]] | * [[Reinforcement Learning (RL)]] | ||
* [[Gaming]] | * [[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: | 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: | ||
Revision as of 18:25, 5 July 2020
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- 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.
- Adversary training in Generative Adversarial Networks (GANs).
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
