Policy Gradient Methods Courses and Certifications

Pascal Poupart

Policy Gradient

Learn about policy gradient methods in reinforcement learning, covering stochastic policies, supervised learning, and the stochastic gradient policy theorem with applications to AlphaGo.

• YouTube
• 41 minutes
• On-Demand
• Free Online Course

Advanced AI: Deep Reinforcement Learning in Python

5822 ratings at Udemy

The Complete Guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks

• Udemy
• 10 hours 38 minutes
• On-Demand
• Paid Course

IIT Madras;  NPTEL

Reinforcement Learning

Explore mathematical foundations and recent research in trial-and-error learning, covering bandit algorithms, MDPs, dynamic programming, function approximation, and advanced topics like hierarchical RL and POMDPs.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Reinforcement Learning

Learn key concepts and algorithms in reinforcement learning, including bandit algorithms, dynamic programming, and policy gradient methods, from industry experts.

• Edureka
• On-Demand
• Paid Course

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 Online Course

Society for Industrial and Applied Mathematics

Financial Mathematics and Engineering Virtual Talk Series - Session 23

Explore cutting-edge mathematical finance topics with expert speakers in this virtual talk series, covering policy gradient methods, sequential testing, and trading strategies.

• YouTube
• 59 minutes
• On-Demand
• Free Online Course

International Centre for Theoretical Sciences

Deep Reinforcement Learning of Marked Temporal Point Processes

Explore deep reinforcement learning for marked temporal point processes, covering event representation, policy optimization, and applications in information propagation and knowledge creation.

• YouTube
• 36 minutes
• On-Demand
• Free Online Course

Reinforcement Learning

Get a crash course in this key technique for machine learning.

• Brilliant
• On-Demand
• Paid Course

Institute for Advanced Study

Reproducible, Reusable, and Robust Reinforcement Learning - Joelle Pineau

Explore reproducibility, reusability, and robustness in reinforcement learning. Delve into policy gradient methods, hyperparameter interplay, fair comparisons, and real-world applications of RL algorithms.

• YouTube
• 40 minutes
• On-Demand
• Free Online Course

Simons Institute

Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes

Explore policy gradient methods in Markov Decision Processes, covering optimality, approximation, and key concepts like entropy regularization and natural policy gradient.

• YouTube
• 55 minutes
• On-Demand
• Free Online Course

Alexander Amini;  MIT

MIT: Deep Reinforcement Learning

Explore deep reinforcement learning concepts, algorithms, and applications, including Q-learning, policy gradients, and breakthroughs like AlphaGo and AlphaZero in game AI.

• YouTube
• 45 minutes
• On-Demand
• Free Online Course

Alexander Amini

Reinforcement Learning - MIT 6.S191 Lecture 5

Comprehensive exploration of deep reinforcement learning, covering Q-functions, policy gradients, and real-world applications like AlphaGo. Ideal for understanding RL fundamentals and advanced concepts.

• YouTube
• 1 hour
• On-Demand
• Free Online Course