AI · Theory

Types of Environments

Theory

207/215

Types of Environments

Environment types: fully/partially observable, deterministic/stochastic, episodic/sequential, static/dynamic, discrete/continuous, single/multi-agent. Crossword the labels for chess vs self-driving vs image classification (episodic).

This table shows up every semester. Draw it once and reuse.

Types of Environments — output — two contrast lines. Tick all six axes in the viva.

Exam tip

Tick all six for chess.

Example

# Environment types
print("chess : fully observable, deterministic, discrete, multi-agent")
print("taxi  : partial, stochastic, continuous, multi-agent")

Types of Environments — output: two contrast lines. Tick all six axes in the viva.

Short notes

DefSix axes. Chess vs taxi vs photo class.

AI · Theory

Types of Environments

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Theory

207/215

Types of Environments

This table shows up every semester. Draw it once and reuse.

Types of Environments — output — two contrast lines. Tick all six axes in the viva.

Exam tip

Tick all six for chess.

Example

# Environment types
print("chess : fully observable, deterministic, discrete, multi-agent")
print("taxi  : partial, stochastic, continuous, multi-agent")

Types of Environments — output: two contrast lines. Tick all six axes in the viva.

Short notes

DefSix axes. Chess vs taxi vs photo class.

Types of Environments

Example

Short notes

Questions

Types of Environments

Example

Short notes

Questions