Reinforcement Learning - Developing Intelligent Agents

Reinforcement Learning - Course Conclusion

Congratulations on completing this Reinforcement Learning course!

We've come a long way together from learning the fundamentals of Markov Decision Processes and the relationship had between an agent and its environment all the way to implementing our own deep RL agents in code to navigate simulated environments!

As we can see, applying neural networks to the field of reinforcement learning adds a layer of complexity to what we may have been exposed to previously by using networks for basic tasks, like pure image classification or object detection for example.

I hope you've enjoyed the course and gained a lot of valuable knowledge to add to your deep learning tool kit.

Be sure to check out all of the available courses on deeplizard.com to discover where to go next to continue your deep learning journey! I look forward to seeing you again!