Certified Professional in Reinforcement Learning Basics
-- viewing nowThe Certified Professional in Reinforcement Learning Basics course is a comprehensive program designed to equip learners with essential skills in reinforcement learning. This field is rapidly growing, with increasing industry demand for professionals who can apply these advanced machine learning techniques to solve complex problems.
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• Introduction to Reinforcement Learning: Definitions, history, and applications of reinforcement learning. Explore the concept of an agent, environment, actions, states, and rewards. • Markov Decision Processes (MDPs): Understand the theory behind MDPs, their properties, and how they are used in reinforcement learning. • Dynamic Programming: Delve into policy evaluation, policy iteration, and value iteration. Examine the Bellman optimality equation and its importance. • Monte Carlo Methods: Learn about first-visit and every-visit Monte Carlo methods, including their advantages, disadvantages, and applications. • Temporal Difference (TD) Learning: Understand the theory behind TD learning, SARSA, and Q-learning algorithms. Distinguish between on-policy and off-policy methods. • Function Approximation: Explore the limitations of tabular methods and discover how function approximation can address those limitations. • Deep Reinforcement Learning: Investigate the fusion of deep learning and reinforcement learning, including the Deep Q-Network (DQN) algorithm. • Policy Gradients and Actor-Critic Methods: Study REINFORCE, vanilla policy gradients, and actor-critic methods, including the advantage actor-critic (A2C) and asynchronous advantage actor-critic (A3C) algorithms. • Deep Deterministic Policy Gradients (DDPG): Delve into continuous action spaces and the DDPG algorithm, including the importance of exploration and exploitation. • Proximal Policy Optimization (PPO): Understand PPO, its benefits, and how it addresses challenges in policy optimization methods.
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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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