# Category:Reinforcement learning

Here is a list of articles in the Reinforcement learning category of the Computing portal that unifies foundations of mathematics and computations using computers. Reinforcement learning (RL) is an area of machine learning concerned with how software agents ought to take actions in an environment so as to maximize some notion of cumulative reward.

## Pages in category "Reinforcement learning"

The following 8 pages are in this category, out of 8 total.

- Reinforcement learning
*(computing)*

### D

- Deep reinforcement learning
*(computing)*

### E

- End-to-end reinforcement learning
*(computing)*

### M

- Model-free (reinforcement learning)
*(computing)* - Multi-objective reinforcement learning
*(computing)*

### Q

- Q-learning
*(computing)*

### T

- TD-Gammon
*(computing)* - Temporal difference learning
*(computing)*