Reinforcement Learning
Skills for certificate:
Python
Machine Learning
Data Science
Artificial Intelligence
Intelligent Agents
Reinforcement Learning
This is the page displaying all the material related to Reinforcement Learning. This can include projects, blogs, certificates, university modules and work experience along with sub-skills.
Material
Handwritten Digit Classifier
A handwritten digit classifier using built using a Convolutional Neural Network (CNN). Used various techniques such as data augmentation, batch normalisation, and dropout to improve the model's performance.
Machine Learning Algorithms
Practicing various algorithms and techniques. This includes supervised, unsupervised, and reinforcement learning algorithms, as well as feature engineering, data preprocessing, and hyperparameter tuning.
Reinforcement Learning Lab
Practicing various Reinforcement Learning algorithms and techniques. This includes Q-Learning, Deep Q-Learning, and Asynchronous Advantage Actor-Critic (A3C) algorithms.
Custom Q-Learning Agent
A custom Q-Learning agent learns to play Pacman. Required foundational Mathematics knowledge and understanding of the Q-Learning algorithm.
Machine Learning & Data Science Lab
Focusing on learning generative models, using third-party models and using advanced techniques. This includes techniques such as transfer learning, LLM Agents, and Generative Models.