AI · Theory

Stochastic Games

Theory

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Stochastic Games

Stochastic Games is about choosing a sequence of actions toward a goal, sometimes with other agents or chance. State the goal, the actions, and whether the world is deterministic. Planning ≠ classification.

Output — idea / do / check for Stochastic Games. Fill those three in the viva.

Tiny Stochastic Games story — get the key, open the door, reach the gold. That beats a UML diagram.

Exam tip

Goal + actions + deterministic or not.

Example

# Stochastic Games
print("idea :", "Stochastic Games")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Stochastic Games. Fill those three in the viva.

Short notes

DefStochastic Games — actions toward a goal.
RuleState the world type.
TrapStochastic Games — calling every ML model “planning”.

AI · Theory

Stochastic Games

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Theory

94/215

Stochastic Games

Output — idea / do / check for Stochastic Games. Fill those three in the viva.

Tiny Stochastic Games story — get the key, open the door, reach the gold. That beats a UML diagram.

Exam tip

Goal + actions + deterministic or not.

Example

# Stochastic Games
print("idea :", "Stochastic Games")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Stochastic Games. Fill those three in the viva.

Short notes

DefStochastic Games — actions toward a goal.
RuleState the world type.
TrapStochastic Games — calling every ML model “planning”.

Stochastic Games

Example

Short notes

Questions

Stochastic Games

Example

Short notes

Questions