Policy Gradient 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
• Self-Paced
• Free Video

Deep Reinforcement Learning in Python

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

• DataCamp
• 4 hours
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Squid: Schools for Quantum Information Development

Quantum Policy Gradient Algorithms for Reinforcement Learning

Delve into quantum policy gradient algorithms and their application in reinforcement learning, exploring quantum-classical speed-ups and parameterized quantum circuits for AI advancement.

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

Centre for Networked Intelligence, IISc

Average Reward Markov Decision Process - Policy Gradient Algorithms and Regret Analysis

Delve into infinite horizon average reward Markov Decision Process (MDP), exploring policy gradient algorithms, gradient estimation techniques, and innovative approaches to reduce mixing time dependencies.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course

Deep Reinforcement Learning: From Theory to Practice

Master deep reinforcement learning from function approximation to modern algorithms like PPO, DDPG, and SAC, implementing stable agents for high-dimensional environments including games and robotics.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Artificial Intelligence 2.0: AI, Python, DRL + ChatGPT Prize

1362 ratings at Udemy

Artificial Intelligence 2.0: The smartest combination of Double Deep Q-Learning, Policy Gradient, Actor Critic, DDPG

• Udemy
• 9 hours 41 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Deep Reinforcement Learning Hands-On

Master Deep Reinforcement Learning from foundations to cutting-edge topics, covering PyTorch, DQN, Actor-Critic Methods, robotics, and multi-agent RL for real-world applications.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

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

Packt

Cutting-Edge Topics in Deep Reinforcement Learning

Master cutting-edge deep RL techniques including continuous action spaces, trust region methods, RLHF, and multi-agent systems, with real-world case studies like AlphaGo Zero and MuZero.

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

Modern Reinforcement Learning: Actor-Critic Agents

530 ratings at Udemy

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

• Udemy
• 10 hours 22 minutes
• Self-Paced
• 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
• Self-Paced
• Free Online Course