Markov Decision Processes Courses and Certifications

The Julia Programming Language

MDPs - Markov Decision Processes - Decision Making Under Uncertainty Using POMDPs.jl

Explore Markov Decision Processes and decision-making under uncertainty using POMDPs.jl. Learn about MDPs, Grid World, solvers, reinforcement learning, and visualization techniques in Julia.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

Artificial Intelligence: Reinforcement Learning in Python

10802 ratings at Udemy

Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications

• Udemy
• 14 hours 43 minutes
• Self-Paced
• Paid Course

Data Science Decisions in Time: Using Data Effectively

Learn to make optimal decisions using data streams, from simple to complex, covering Wald's model, Thompson sampling, change points, Markov chains, and Markov decision processes for effective data analysis and decision-making.

• Coursera
• 1 day 1 hour 10 minutes
• Self-Paced
• Paid Course

Decision Making and Reinforcement Learning

24 ratings at Coursera

Explore sequential decision-making and reinforcement learning, covering utility theory, bandit problems, MDPs, POMDPs, Monte Carlo methods, and temporal difference learning. Gain practical skills through algorithms and examples.

• Coursera
• 1 day 23 hours 9 minutes
• Self-Paced
• Paid Course

Decision-Making for Autonomous Systems

Learn effectivetactics for making keydecisionswhen working with autonomous, self-driving vehicles.

• edX
• 7 weeks, 10-20 hours/week
• Self-Paced
• Free Online Course (Audit)

Learn Ventures

Fundamentals of Deep Reinforcement Learning

Learn the theoretical foundations of Deep Learning through practical Python code.

• edX
• 8 weeks, 2-6 hours/week
• Self-Paced
• Free Online Course

Fundamental of Reinforcement Training

Discover reinforcement learning fundamentals through MDP concepts and hands-on demos, distinguishing RL from other ML approaches for real-world decision-making applications.

• Coursera
• 3 hours 4 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Deep Reinforcement Learning with PyTorch

Master deep reinforcement learning with PyTorch, covering OpenAI Gym, Bellman equations, Deep Q-Networks, and hands-on projects to build practical RL models for AI, robotics, and gaming.

• Coursera
• 7 hours
• Self-Paced
• Paid Course

Cognitive Robotics

Explore advanced AI techniques for autonomous systems, from self-monitoring and task scheduling to multi-agent collaboration and risk management, culminating in robust, intelligent robotic programming.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Packt

Advanced Deep RL Algorithms and Applications

Master advanced deep RL algorithms—DQN extensions, policy gradients, and actor-critic methods—applying them to gaming, stock trading, and NLP environments to solve complex real-world AI challenges.

• Coursera
• 7 hours
• Self-Paced
• Paid Course

Stanford CS234 - Reinforcement Learning - Spring 2024

Master reinforcement learning fundamentals through Stanford's comprehensive program covering MDP planning, policy evaluation, Q-learning, exploration strategies, and deep RL applications.

• YouTube
• 20 hours 11 minutes
• Self-Paced
• Free Video

GERAD Research Center

Planning and Learning in Risk-Aware Restless Multi-Arm Bandit

Explore risk-aware restless multi-arm bandits, indexability conditions, and Thompson sampling for bounded regret in resource distribution across Markov decision processes.

• YouTube
• 48 minutes
• Self-Paced
• Free Video

Nvidia Deep Learning Institute;  Unity Credential

Deep Reinforcement Learning

357 ratings at Udacity

Master deep reinforcement learning techniques to train AI agents for navigation, financial trading, and multi-agent systems. Implement classical and modern RL algorithms using PyTorch.

• Udacity
• 83 hours
• Self-Paced
• Paid Course

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
• Self-Paced
• Free Video

Pascal Poupart

CS885 - Semi-Markov Decision Processes

Explore semi-Markov decision processes, reinforcement learning, and queueing theory. Learn about Bellman's equation and the option framework for advanced decision-making strategies.

• YouTube
• 36 minutes
• Self-Paced
• Free Video