Temporal-Difference Learning Courses and Certifications

University of Alberta;  Alberta Machine Intelligence Institute

Sample-based Learning Methods

44 reviews

Explore sample-based learning methods in reinforcement learning, including Monte Carlo, temporal difference, and Dyna. Learn to estimate value functions, implement algorithms, and improve sample efficiency.

• Coursera
• 22 hours 16 minutes
• On-Demand
• Paid Course

International Centre for Theoretical Sciences

N-Step Temporal Difference Learning with Optimal n

Explore n-step temporal difference learning algorithms and discover methods for determining optimal step sizes in reinforcement learning applications.

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

Steve Brunton

Q-Learning - Model Free Reinforcement Learning and Temporal Difference Learning

Explore Q-learning and temporal difference algorithms in reinforcement learning, including SARSA and connections to biological learning through dopamine. Covers key concepts for deep reinforcement learning.

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

Reinforcement Learning with Gymnasium in Python

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Dave Churchill

Introduction to Artificial Intelligence: Temporal Difference Learning - Lecture 17

Explore temporal difference learning, on/off-policy methods, and Q-learning. Gain hands-on experience with reinforcement learning algorithms through practical assignments and code examples.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

HuggingFace

Temporal Difference Learning for Model Predictive Control - Research Presentation 3

Presentation on Temporal Difference Learning for Model Predictive Control, exploring innovative approaches in robotics and AI. Insights into recent papers and project developments by researcher Nicklas Hansen.

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

International Centre for Theoretical Sciences

Finite Time Analysis of Temporal Difference Learning with Linear Function by L. A. Prashanth

Explore finite time analysis of Temporal Difference Learning with linear function approximation, examining theoretical foundations and practical implications for reinforcement learning algorithms.

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

International Centre for Theoretical Sciences

Finite Time Analysis of Temporal Difference Learning with Linear Function

Explores finite time analysis of Temporal Difference Learning with linear function approximation, discussing probabilistic and optimization methods in data science and their applications.

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

Dave Churchill

Intro to Artificial Intelligence - Temporal Difference Learning - Lecture 19

Explore temporal difference learning and its applications in AI, focusing on practical implementations and problem-solving techniques.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Dave Churchill

Intro to Artificial Intelligence - Temporal Difference Learning - Lecture 18

Explore temporal difference learning and its applications in AI, with practical insights for Assignment 5 implementation.

• YouTube
• 1 hour 14 minutes
• On-Demand
• Free Video

Centre for Networked Intelligence, IISc

Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation: Tail Averaging and Regularization

Delve into advanced temporal difference learning analysis, exploring tail-averaging techniques and regularization methods for improved convergence rates in reinforcement learning applications.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Dave Churchill

Intro to Artificial Intelligence - Temporal Difference Learning - Lecture 19

Explore temporal difference learning, SARSA, and Q-Learning algorithms with practical examples like the Cliff problem, plus guidance on Assignment 5 implementation for reinforcement learning applications.

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

Decision Making and Reinforcement Learning

23 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
• On-Demand
• Paid Course

Reinforcement Learning

This MOOC teaches the basics in reinforcement learning. It provides participants with a solid mathematical basis to study new methods from reinforcement learning research and put them into practice.

• edX
• 8 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Decision-Making in Dynamic Environments

Master multi-agent AI systems through game theory, distributed training, and communication protocols to deploy scalable solutions in dynamic real-world environments.

• Coursera
• 2 hours 41 minutes
• On-Demand
• Paid Course