Deepfakes
Deep Learning
Combination of deep learning with reinforcement learning to create agents that can learn optimal behaviors through interaction
Detailed Explanation
Deep Reinforcement Learning combines the pattern recognition strengths of deep learning with reinforcement learning's decision-making framework. It enables agents to learn optimal behaviors by interacting with their environment, receiving feedback through rewards or penalties. This approach allows for complex decision-making in high-dimensional spaces, making it effective for tasks like game playing, robotics, and autonomous systems.
Use Cases
- •Develop an autonomous drone that learns to navigate complex environments by interacting and optimizing its flight path through reward-based feedback.
Related Terms
Other terms in the Deep Learning category