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 Video

Deep Reinforcement Learning in Python

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

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

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 Video

Max Planck Science

Global Guarantees for Policy Gradient Methods

Explore global guarantees for policy gradient methods in reinforcement learning, examining theoretical foundations and practical implications.

• YouTube
• 59 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

Advanced AI: Deep Reinforcement Learning in Python

6499 ratings at Udemy

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

• Udemy
• 10 hours 39 minutes
• On-Demand
• Paid Course

Modern Reinforcement Learning: Actor-Critic Agents

526 ratings at Udemy

Implement Cutting Edge Artificial Intelligence Research Papers in the Open AI Gym Using the PyTorch & Tensorflow2

• Udemy
• 10 hours 22 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)

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

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 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

Deep Reinforcement Learning - Frontiers - Lecture 18

Explore cutting-edge frontiers in deep reinforcement learning, covering problem setup, advanced methods, and real-world deployment strategies with Stanford's expert guidance.

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

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 Video

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 Video

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 Video