| Display title | Model-free (reinforcement learning) |
| Default sort key | Model-free (reinforcement learning) |
| Page length (in bytes) | 6,467 |
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| Page ID | 186843 |
| Page content language | en - English |
| Page content model | wikitext |
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| Page creator | imported>WikiEditor |
| Date of page creation | 17:07, 6 February 2024 |
| Latest editor | imported>WikiEditor |
| Date of latest edit | 17:07, 6 February 2024 |
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Description | Content |
Article description: (description)
This attribute controls the content of the description and og:description elements. | In reinforcement learning (RL), a model-free algorithm (as opposed to a model-based one) is an algorithm which does not estimate the transition probability distribution (and the reward function) associated with the Markov decision process (MDP), which, in RL, represents the problem to be solved. The... |
