Masterclass Certificate in Policy Optimization Approaches

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과정 세부사항

• Policy Gradients  
• Reinforcement Learning Basics  
• Actor-Critic Methods  
• Proximal Policy Optimization (PPO)  
• Deep Deterministic Policy Gradient (DDPG)  
• Soft Actor-Critic (SAC)  
• Trust Region Policy Optimization (TRPO)  
• Advantage Actor-Critic (A2C & A3C)  
• Monte Carlo Tree Search (MCTS)  

경력 경로

This section showcases a Google Charts 3D Pie chart that visually represents the market demand for various roles related to policy optimization approaches in the UK. With job market trends and skill demand evolving rapidly, it's crucial to understand the opportunities and requirements in this domain. The chart features the following roles and their respective market shares: 1. Data Scientist: 25% 2. Policy Analyst: 20% 3. Public Health Specialist: 15% 4. Economist: 10% 5. Legislative Analyst: 10% 6. Social Worker: 10% 7. Research Scientist: 10% Each role's market share is represented in the chart with easy-to-understand 3D pie segments. The chart is responsive, ensuring a consistent visualization experience across different screen sizes. By setting the width to 100% and the height to 400px, this chart adapts to various layouts while maintaining its visual impact. The Google Charts library is loaded using the script tag , and the JavaScript code is placed within a
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