Advanced Deep Learning and Reinforcement Learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with DeepMind

Deep Learning 1: Introduction to Machine Learning Based AI

Deep Learning 2: Introduction to TensorFlow

Deep Learning 3: Neural Networks Foundations

Reinforcement Learning 1: Introduction to Reinforcement Learning

Reinforcement Learning 2: Exploration and Exploitation

Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming

Reinforcement Learning 4: Model-Free Prediction and Control

Deep Learning 4: Beyond Image Recognition, End-to-End Learning, Embeddings

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

Reinforcement Learning 6: Policy Gradients and Actor Critics

Deep Learning 5: Optimization for Machine Learning

Reinforcement Learning 7: Planning and Models

Deep Learning 6: Deep Learning for NLP

Reinforcement Learning 8: Advanced Topics in Deep RL

Deep Learning 7. Attention and Memory in Deep Learning

Reinforcement Learning 9: A Brief Tour of Deep RL Agents

Deep Learning 8: Unsupervised learning and generative models

Reinforcement Learning 10: Classic Games Case Study