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States and accentuators
Discrete choice
Continuous choice
States and deterministic environments
Intertemporal decision making
Planning
Lotteries and risk aversion
Fully observable Markov Decision Processes (MDP)
Decision making with unknown uncertainty
Sensors and Partially Observable Markov Decision Processes (POMDP)
Reinforcement learning
Control theory
Active learning
Simultaneous games
Sequential games
Deep sequential games
Repeated episodic games
Tree search
Games with imperfect or incomplete information
Stochastic games
In practice we don’t know distribution.