Markov Decision Processes Courses and Certifications

University of Alberta;  Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning

25 reviews

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts wi…

• Coursera
• 15 hours 9 minutes
• On-Demand
• Paid Course

• Best of All Time

Pascal Poupart

Markov Decision Processes

Explore Markov Decision Processes, their components, and applications in inventory management. Learn about rewards, discounting, and Bellman's equation for optimal decision-making.

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

Simons Institute

Planning and Markov Decision Processes - Part 1

Explore fundamental concepts of planning and Markov Decision Processes, including control objectives, randomizing policies, and basic methods for reinforcement learning theory.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

VinAI

Faster Saddle-Point Optimization for Solving Large-Scale Markov Decision Processes

Explore advanced techniques for optimizing large-scale Markov decision processes using saddle-point methods. Gain insights into theoretical reinforcement learning and linear programming formulations.

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

Google TechTalks

Fixed-point Error Bounds for Mean-payoff Markov Decision Processes

Explore optimal transport techniques for deriving finite-time error bounds in reinforcement learning, focusing on mean-payoff Markov decision processes and stochastic fixed point iterations.

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

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Error Bounds for Mean-Payoff Markov Decision Processes

Explore optimal transport techniques for error bounds in reinforcement learning, focusing on mean-payoff Markov decision processes and stochastic fixed point iterations.

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

International Centre for Theoretical Sciences

Markov Decision Processes

Delve into Markov Decision Processes with Vivek S. Borkar, exploring mathematical frameworks for sequential decision-making under uncertainty as part of the "Decisions, Games, and Evolution" program at ICTS Bengaluru.

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

International Centre for Theoretical Sciences

Markov Decision Processes

Explore Markov Decision Processes with Vivek S. Borkar, part of the "Decisions, Games, and Evolution" program at ICTS. Gain insights into mathematical frameworks for decision-making across biological and social systems.

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

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Markov Decision Processes of the Third Kind - Learning Distributions by Policy Gradient Methods

Explore distributional Markov Decision Processes where policies learn to steer reward distributions toward target laws using neural-network policy gradients.

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

University of Alberta;  Alberta Machine Intelligence Institute

A Complete Reinforcement Learning System (Capstone)

27 reviews

Implement a complete reinforcement learning solution, from problem formulation to empirical study, developing skills to deploy RL in real-world scenarios.

• Coursera
• 15 hours 45 minutes
• On-Demand
• Paid Course

Introduction to Artificial Intelligence

31 reviews

Online Introduction to Artificial Intelligence is based on Stanford CS221, Introduction to Artificial Intelligence.

• Udacity
• 16 weeks, 6 hours a week
• On-Demand
• Free Online Course

The Julia Programming Language

Decision Making Under Uncertainty using POMDPs.jl

Master decision making under uncertainty with POMDPs.jl, covering MDPs, particle filtering, deep RL, and validation techniques in Julia programming.

• YouTube
• 2 hours 7 minutes
• On-Demand
• Free Video

Simons Institute

Learning Decentralized Policies in Multiagent Systems - How to Learn Efficiently

Explore decentralized policy learning in multiagent systems, focusing on scalable actor-critic methods, network structures, and performance characterization using stochastic game frameworks.

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

Alan Turing Institute

Fast Learning of Small Strategies - Jan Křetínský, Technical University of Munich

Discover fast learning techniques for small strategies in Markov decision processes, combining verification precision with machine learning scalability for ε-optimal strategies and concise representation.

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

GERAD Research Center

How to Use Mean-Field Control for Restless Bandits and Weakly Coupled MDPs

Explore mean-field control techniques for resource allocation in weakly coupled MDPs and restless bandits, focusing on LP-based relaxations and asymptotic optimality.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video