Skill

Deep Reinforcement Learning

Data Science, Analytics and AI/ML

Deep reinforcement learning combines deep neural networks with reinforcement learning, where an agent learns to take actions in an environment to maximize cumulative reward through trial and error. It has been used to achieve breakthroughs in game-playing systems (like AlphaGo), robotics control, and autonomous systems. Researchers and engineers in AI use it for problems where an agent must learn complex behaviors from high-dimensional inputs like pixels or sensor data.

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• PyTorch
• Deep Learning
• Neural Networks
• Reinforcement Learning
• Robotics