Policy Gradient Methods Courses and Certifications

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Online Course

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Steve Brunton

Overview of Deep Reinforcement Learning Methods

Comprehensive exploration of deep reinforcement learning techniques, including Q-learning, actor-critic methods, policy networks, and gradient optimization for advanced AI decision-making and control systems.

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

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
• Self-Paced
• 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
• Self-Paced
• Free Video

TensorFlow

Reinforcement Learning with TensorFlow Agents

Dive into reinforcement learning fundamentals and build intelligent agents using TensorFlow Agents, covering Deep Q Learning, policy gradients, and bandits for real applications.

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

ANITI Toulouse

Reinforcement Learning Virtual School 2021

Dive into reinforcement learning fundamentals, deep Q-networks, policy gradients, and practical applications through this comprehensive virtual school from ANITI Toulouse.

• YouTube
• 1 day 12 hours 30 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Simons Institute

Learning Decentralized Policies in Multiagent Systems - How to Learn Efficiently

Explore decentralized policy learning in multiagent systems, focusing on scalable actor-critic methods, network structures, and performance characterization using stochastic game frameworks.

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

Simons Institute

Backpropagation and Deep Learning in the Brain

Explore deep learning in the brain, backpropagation, and credit assignment algorithms. Discover neuroscience evidence and new models of neurons in this computational brain theory talk.

• YouTube
• 1 hour
• Self-Paced
• Free Video