Certificate in Reinforcement Learning Strategies: High-Performance
-- viewing nowThe Certificate in Reinforcement Learning Strategies: High-Performance course is a comprehensive program designed to equip learners with essential skills in reinforcement learning (RL). This course is crucial for professionals seeking to excel in the field of artificial intelligence (AI) and machine learning (ML).
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Course Details
• Introduction to Reinforcement Learning Strategies
• Markov Decision Processes (MDPs)
• Q-Learning and State-Action Reward Q-tables
• Deep Q Networks (DQNs) and Neural Fitted Q
• Policy Gradients and REINFORCE Method
• Actor-Critic Methods: Advantage Actor Critic (A2C) & Asynchronous Advantage Actor Critic (A3C)
• Proximal Policy Optimization (PPO)
• Deep Deterministic Policy Gradient (DDPG)
• Twin Delayed DDPG (TD3)
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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