Q-learning Courses and Certifications

Great Learning

Reinforcement Learning in Artificial Intelligence - Full Course

Keeping the importance of Reinforcement Learning in mind, we have come up with this full course by Great Learning Faculty Dr. Narayana Darapaneni. Dr. Narayana holds a PhD in Mathematics from Pierre and Marie Curie University, Paris, France.

• YouTube
• 4 hours 26 minutes
• On-Demand
• Free Video

Great Learning

Machine Learning with Python - Tutorial for Beginners

Comprehensive Python-based machine learning tutorial covering data manipulation, visualization, statistics, and reinforcement learning, with practical examples and a smart taxi case study.

• YouTube
• 10 hours 37 minutes
• On-Demand
• Free Video

Yannic Kilcher

Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

Explanation of a novel reinforcement learning framework that enables agents to transfer knowledge between tasks, potentially solving new problems with zero-shot learning through generalized policy updates.

• YouTube
• 55 minutes
• On-Demand
• Free Video

Simons Institute

Reinforcement Learning in Recommender Systems - Some Challenges

Explore challenges in applying reinforcement learning to recommender systems, including scale, stochastic action sets, and user learning over long horizons. Gain insights on addressing these issues.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Simons Institute

Formal Languages and Automata for Reward Function Specification and Efficient Reinforcement Learning

Explore formal languages and automata for specifying reward functions in reinforcement learning, focusing on Linear Temporal Logic and Reward Machines to address real-world RL challenges.

• YouTube
• 1 hour 24 minutes
• On-Demand
• Free Video

Simons Institute

Reinforcement Learning

Explore reinforcement learning's foundations, applications, and advanced concepts, including Q-learning, exploration-exploitation trade-offs, and instance-optimality in policy evaluation.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Simons Institute

Planning and Markov Decision Processes - Part 2

Explore advanced concepts in reinforcement learning, including generative models, sample complexity, value equations, and linear programming, with experts from leading institutions.

• YouTube
• 1 hour 13 minutes
• On-Demand
• Free Video

Institute for Advanced Study

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

Explore efficient reinforcement learning with linear function approximation, covering key concepts like sample efficiency, value-based algorithms, and exploration in multi-armed bandits and linear MDPs.

• YouTube
• 28 minutes
• On-Demand
• Free Video

Steve Brunton

Reinforcement Learning

Explora el Aprendizaje por Refuerzo, desde métodos básicos hasta redes neuronales y aplicaciones en dinámica de fluidos y control, en esta serie de 3.5 horas por Steve Brunton.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video

Reinforcement Learning Course - Full Machine Learning Tutorial

Reinforcement learning is an area of machine learning that involves taking right action to maximize reward in a particular situation. In this full tutorial course, you will get a solid foundation in reinforcement learning core topics.

• freeCodeCamp
• 3-4 hours
• On-Demand
• Free Video

Digi-Key

Introduction to Reinforcement Learning

Learn reinforcement learning fundamentals and apply them to solve control problems using Python libraries. Hands-on training with cartpole example and challenge to tackle inverted pendulum problem.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Free Video

Steve Brunton

Reinforcement Learning Series - Overview of Methods

Comprehensive overview of reinforcement learning methods, covering model-based and model-free approaches, from dynamic programming to deep RL and policy gradient optimization.

• YouTube
• 22 minutes
• On-Demand
• Free Video

NDC Conferences

Reinforcement Learning - Pac-Man

Explore reinforcement learning through building a Pac-Man-beating agent. Gain insights into Q-learning, deep Q-learning with neural networks, and practical implementation using libraries like Keras.

• YouTube
• 1 hour 1 minute
• On-Demand
• Conference Talk

Simons Institute

Foundations of RL

Explore key reinforcement learning algorithms: TD learning, Q-Learning, and Natural Policy Gradient. Learn about finite-time performance bounds and their underlying principles.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Simons Institute

Foundations of RL

Explore key reinforcement learning algorithms: TD learning, Q-Learning, and Natural Policy Gradient. Learn about finite-time performance bounds and their underlying principles.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video