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Course Details
Topic 1 Introduction to Reinforcement Learning
- Fundamental Concepts of Reinforcement Learning (RL)
- Types of RL Algorithms
- Applications of RL
- Markov Decision Process
Topic 2 OpenAI Gym and Stable Baselines
- Introduction to OpenAI Gym
- Install OpenAI Gym and Stable Baselines
- Create Agent and Policy on Gym
Topic 3 Value Based Q-Learning
- Overview of Value Based Learning
- Value Functions and Bellman's Equations
- Exploration Strategies
- Q-Learning Algorithm
- SARSA Algorithm
- Deep Q Network (DQN) Algorithm
Topic 4 Policy Based Learning
- Overview of Policy Based Learning
- Policy Network
- Policy Gradient Algorithm
Topic 5 Advanced RL Algorithms
- Actor-Critic A2C/A3C Algorithms
- Proximal Policy Gradient (PPO/PPO2)
Topic 6 Advanced Stable Baselines Techniques
- Custom Policy Networks
- Callbacks and Tensorboard
- Reinforcement Learning on Atari Games
- Reinforcement Learning on MuJoCo
Topic 7 Brief Introduction to Model-Based Learning
- What is Model-Based Learnings
- Monte Carlo Tree Search
- Brief Overview of AlphaZero
Course Info
Basic knowledge of Python and Raspberry Pi are assumed.
Job Roles
- Engineers
- Computer Vision Engineers
- Scientists
Trainers
Nero: Nero is dean of Penang School of AI, which is AI learning and sharing community in Northern Malaysia. He is Msc in Computer Imaging in Universiti Sains Malaysia. His research is mainly focusing in Video Analytic and Multiple object tracking. At the same time, he is developing computer vision application in WyseTime, a tech-startup company focus on video analytic application using deep learning technology.
Lee Cheong Loong: Lee Cheong Loong, Manager with 23 years working experience in multiple role and department, He completed HRD Corp Train the Trainer programme, HRD Corp Accredited Trainer, Microsoft Certified Trainer and CPFA Citizen Data scientist Trainer programme. with Professional certificate in Big Data & Analytics, Microsoft Office Specialist -Excel 2016 and Tableau Desktop Specialist. He also deliver training for R & Python programming, Excel Dashboard for Business analysis, Data Visualization with Tableau, and Microsoft PowerBI, and Citizen Data Scientist (OpenCertHub).
Dr Azam: Dr Azam is an aerospace engineer with a passion on machine learning. He self-taught himself R statistical methods and has developed a machine learning course specifically for mechanical engineers; curating example case studies where traditional engineering analysis benefitted from machine learning techniques. Currently, he is involved in analyzing data from an oil platform as part of a large predictive maintenance package. He is also interested in mobile apps development and has consulted a few businesses to modernize their point of sale system using tailor-made android apps. He has supervised final year projects related to android mobile apps and one of the projects has won silver award for the best project overall.
Customer Reviews (3)
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. (Posted on 18/10/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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. (Posted on 28/03/2023)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - will recommend Review by Course Participant/Trainee
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Expand the duration of the course. (Posted on 17/01/2022)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
