Policy Gradient Courses and Certifications

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
• On-Demand
• Free Video

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

1360 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
• On-Demand
• Paid Course

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

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

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
• 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

Pascal Poupart

Reinforcement Learning - Spring 2018

Master reinforcement learning algorithms that enable machines to learn from partial feedback, covering Markov processes, deep RL, bandits, and applications in robotics and games.

• YouTube
• 1 day 22 minutes
• On-Demand
• Free Video

Python Lessons

Reinforcement Learning - From DQN to PPO with Practical Applications

Master advanced reinforcement learning algorithms from DQN to PPO, building AI agents that play games, land rockets, and navigate complex environments through hands-on projects.

• YouTube
• 7 hours 59 minutes
• On-Demand
• Free Video

Reinforcement Learning Course

Comprehensive exploration of reinforcement learning concepts, from basics to advanced topics, including deep RL, policy gradients, and practical applications in classic games.

• YouTube
• 17 hours
• On-Demand
• Free Video

Stanford CS234: Reinforcement Learning - Winter 2019

Explore reinforcement learning fundamentals to advanced techniques, covering policy evaluation, deep Q-learning, imitation learning, policy gradients, fast RL, and Monte Carlo tree search.

• YouTube
• 19 hours
• On-Demand
• Free Online Course

TensorFlow

TF-Agents - A Flexible Reinforcement Learning Library for TensorFlow

Explore TF-Agents, a flexible Deep Reinforcement Learning library for TensorFlow. Learn about recent advancements, implementation techniques, and how to jumpstart your RL projects using this modular open-source tool.

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

TensorFlow

TensorFlow and Deep Reinforcement Learning, Without a PhD - Google I/O '18

Learn to implement deep reinforcement learning with TensorFlow, teaching a neural network to play Pong using only pixel data. No prior expertise required.

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

Serrano.Academy

A Friendly Introduction to Deep Reinforcement Learning, Q-Networks and Policy Gradients

Friendly exploration of deep reinforcement learning concepts, including Markov decision processes, Q-networks, and policy gradients, using examples and visuals to explain complex ideas.

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

Alexander Amini;  MIT

MIT: Reinforcement Learning

Explore deep reinforcement learning concepts, algorithms, and real-world applications in this comprehensive lecture from MIT's Introduction to Deep Learning course.

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