Certificate in Reinforcement Learning Techniques: Data-Driven
-- viewing nowThe Certificate in Reinforcement Learning Techniques: Data-Driven course is a comprehensive program designed to equip learners with essential skills in reinforcement learning, a subfield of artificial intelligence. This course emphasizes the importance of data-driven decision-making, empowering learners to build intelligent systems that can adapt to new situations and improve over time.
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Course Details
• Introduction to Reinforcement Learning Techniques
• Markov Decision Processes (MDPs)
• Q-Learning and State-Action Reward Learning
• Deep Reinforcement Learning: DQN, DDPG, TRPO & PPO
• Reinforcement Learning Applications in Gaming and Robotics
• Policy Gradients and Actor-Critic Methods
• Monte Carlo Tree Search and AlphaGo
• Multi-Agent Reinforcement Learning
• Exploration vs Exploitation in Reinforcement Learning
• Evaluation and Comparison of Reinforcement Learning Algorithms
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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