Reinforcement Learning Courses and Certifications

Stanford Seminar - Decision Transformer: Reinforcement Learning via Sequence Modeling

Innovative approach to reinforcement learning using sequence modeling and Transformer architecture, offering simplicity and scalability while matching or exceeding state-of-the-art performance in various tasks.

• YouTube
• 1 hour 21 minutes
• On-Demand
• Free Video

Towards Safe and Efficient Learning in the Physical World - Stanford Seminar

Exploring safe Bayesian optimization and model-based deep reinforcement learning for efficient, safe online learning in real-world applications like robotics and laser tuning.

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

Value-Based Methods

Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.

• Udacity
• 2 weeks, 5-6 hours a week
• On-Demand
• Paid Course

Decision Making and Reinforcement Learning

17 ratings at Coursera

Explore sequential decision-making and reinforcement learning, covering utility theory, bandit problems, MDPs, POMDPs, Monte Carlo methods, and temporal difference learning. Gain practical skills through algorithms and examples.

• Coursera
• 1 day 23 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Data Augmentation for Image-Based Reinforcement Learning

Explores data augmentation techniques for image-based reinforcement learning, presenting a model-free algorithm and a self-supervised framework for visual continuous control tasks, achieving state-of-the-art results.

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

Microcredential

Reinforcement Learning

2 reviews

Explore adaptive learning systems and AI through Reinforcement Learning. Gain practical skills to implement RL solutions for real-world problems, from game development to industrial control.

• Coursera
• 22 weeks, 4 hours a week
• On-Demand
• Paid Course
• 4 courses

Reinforcement Learning beginner to master - AI in Python

525 ratings at Udemy

Build Artificial Intelligence (AI) agents using Deep Reinforcement Learning and PyTorch: A2C, REINFORCE, DQN, etc.

• Udemy
• 11 hours
• On-Demand
• Paid Course

Reinforcement Learning with Gymnasium in Python

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

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

Practical Reinforcement Learning using Python - 8 AI Agents

264 ratings at Udemy

Use Cutting-Edge Reinforcement Learning algorithms in Environments like Flappy Bird, Mario, Stocks and Much More!!

• Udemy
• 5 hours 3 minutes
• On-Demand
• Paid Course

New York Institute of Finance;  Google Cloud

Reinforcement Learning for Trading Strategies

231 ratings at Coursera

Explore reinforcement learning for trading strategies, covering neural networks, LSTMs, and AutoML. Learn to build RL-based trading systems and optimize portfolios using advanced machine learning techniques.

• Coursera
• 12 hours 16 minutes
• On-Demand
• Free Online Course (Audit)

Deep Reinforcement Learning: Hands-on AI Tutorial in Python

220 ratings at Udemy

Develop Artificial Intelligence Applications using Reinforcement Learning in Python.

• Udemy
• 4 hours 4 minutes
• On-Demand
• Paid Course

Reinforcement Learning from Human Feedback (RLHF)

Learn how to make GenAI models truly reflect human values while gaining hands-on experience with advanced LLMs.

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

Reinforcement Learning

Explore Q-learning, deep Q networks, and reinforcement learning environments through hands-on tutorials and practical implementations.

• YouTube
• 3 hours 30 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

A Reinforcement Learning Mechanism for Trading Wind Power Futures

Explore reinforcement learning for trading wind power futures, covering energy security, market setup, and machine learning models in this NYU seminar by Bruno Kamdem.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video