Policy Gradient Courses and Certifications

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

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

1313 ratings at Udemy

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

• Udemy
• 9 hours 43 minutes
• On-Demand
• Paid Course

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

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

Open Data Science

Introduction to Reinforcement Learning

Explore reinforcement learning's evolution, breakthroughs, and applications in AI, from board games to robotics. Gain insights into key concepts, formulations, and future directions in this rapidly advancing field.

• YouTube
• 1 hour 8 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP - Minimum Risk Training and Reinforcement Learning

Explore minimum risk training and reinforcement learning in NLP, covering error analysis, policy gradients, and value-based methods to enhance neural network performance.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Graham Neubig

Neural Nets for NLP 2019 - Reinforcement Learning

Explore reinforcement learning in NLP, covering policy gradient, REINFORCE, value-based methods, and applications in dialogue and information retrieval.

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

Paul G. Allen School

ADSI Summer Workshop- Algorithmic Foundations of Learning and Control

Explore model-based control for physical systems, covering inverse dynamics, optimization techniques, and automated discovery methods for advanced robotics and control applications.

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

Pascal Poupart

Trust Region Policy Optimization

Explore trust region policy optimization in reinforcement learning, covering key concepts like policy gradient, KL-penalized problems, and the TRPO algorithm.

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

Serrano.Academy

Neural Networks

This Course is a friendly introduction series to machine learning, deep learning, neural networks and generative adversarial networks.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Video