debasishg/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning

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

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

[slides] [video]

Deep Learning 2: Introduction to TensorFlow

[slides] [video]

Deep Learning 3: Neural Networks Foundations

[slides] [video]

Reinforcement Learning 1: Introduction to Reinforcement Learning

[slides] [video]

Reinforcement Learning 2: Exploration and Exploitation

[slides] [video]

Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming

[slides] [video]

Reinforcement Learning 4: Model-Free Prediction and Control

[slides] [video]

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

[slides] [video]

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

[slides] [video]

Reinforcement Learning 6: Policy Gradients and Actor Critics

[slides] [video]

Deep Learning 5: Optimization for Machine Learning

[slides] [video]

Reinforcement Learning 7: Planning and Models

[slides] [video]

Deep Learning 6: Deep Learning for NLP

[slides] [video]

Reinforcement Learning 8: Advanced Topics in Deep RL

[slides] [video]

Deep Learning 7. Attention and Memory in Deep Learning

[slides] [video]

Reinforcement Learning 9: A Brief Tour of Deep RL Agents

[slides] [video]

Deep Learning 8: Unsupervised learning and generative models

[slides] [video]

Reinforcement Learning 10: Classic Games Case Study

[slides] [video]