Job category:Artificial Intelligence
356 learners

Navigating RL Challenges: Strategies and Future Directions

The final course explores advanced techniques to enhance our RL systems. We'll implement random goal positions, hazardous environments with mines, and reward shaping, concluding with an exploration of cutting-edge RL developments that point toward future applications.
Numpy
Python
5 lessons
20 practices
1 hour
Badge for Coding and Data Algorithms,
Coding and Data Algorithms

Course details

Implementing Random Goals in Grid World Environments
Random Goals in Grid World
Random Goal Positioning in GridWorld
Random Goal Selection in Grid World
Refine Random Goal Selection
Customizing Goal Distance in Grid World

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