Track RL · Reinforcement Learning
The Reinforcement Learning track of Applied AI Mastery: 7 free, illustrated courses and 63 modules, L2 to L4. From a slot-machine problem to the RL methods now used to train language models.
Track RL L2 to L4 · Intermediate to Expert 7 courses · 63 modules
From a slot-machine problem to the RL methods now used to train language models.
| Course | Level | Modules | Status |
|---|---|---|---|
| RL01 RL Foundations | Level L2 | Modules 9 | Status 1 of 9 modules live |
| RL02 Tabular Model-Free RL | Level L2 | Modules 9 | Status Planned · Ring 2 |
| RL03 Deep Value-Based RL | Level L3 | Modules 8 | Status Planned · Ring 3 |
| RL04 Policy Gradient and Actor-Critic | Level L3 | Modules 10 | Status Planned · Ring 3 |
| RL05 Model-Based RL and Planning | Level L3 to L4 | Modules 8 | Status Planned · Ring 4 |
| RL06 Advanced RL | Level L4 | Modules 11 | Status Planned · Ring 4 |
| RL07 RL for Language Models and Real Systems | Level L4 | Modules 8 | Status Planned · Ring 4 |
See how this track connects to the others in the curriculum overview.
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