Learn how to use Reinforcement Learning techniques to create practical Artificial Intelligence programs!
InstructorJose Portilla
Free
FreeThe curriculum moves from foundational data science tools into neural networks and specific reinforcement learning methods like SARSA and DQN.
Instructional signals highlight a well-structured approach where technical nuances are explained clearly.
Learners report issues with deprecated libraries, specifically regarding the transition from Gym to Gymnasium and issues with Keras-RL2.
Some signals suggest that certain promised topics like Double DQN may be missing, alongside gaps in fundamental theoretical concepts.
The curriculum aligns with the target of Python developers interested in RL, provided they have the required technical prerequisites.