Game Theory
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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 (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