AI engineering glossary · Reinforcement learning
What is episodic task?
Episodic task: A problem that naturally breaks into separate runs, each ending in a final situation after which everything resets. Total score can be computed per run, which makes methods that wait until the end of a run possible.
Episodic task: an example
A single game of Carrom, or one customer chat session that ends when the ticket is closed.
Related terms
More Reinforcement learning terms
- Epsilon-greedy
- Experience replay
- Exploitation
- Exploration
- Exploration-exploitation trade-off
- Function approximation
- Goal-conditioned reinforcement learning
- Greedy policy
Where you learn it
Episodic task is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.