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Reinforcement Learning

Study reinforcement learning from fundamentals to advanced techniques including Q-learning, policy gradients, and multi-agent systems.

14 courses

Reinforcement Learning Machine Learning Deep Learning Natural Language Processing Computer Vision Data Science

Reinforcement Learning Courses

Fundamentals of Reinforcement Learning

Learn University of AlbertaFundamentals of Reinforcement LearningCourse

Beginner4.5Free

Deep Reinforcement Learning - DeepMind x UCL

DeepMind and UCL course on Deep Reinforcement Learning. Learn the fundamentals of RL and deep RL from researchers at DeepMind.

Online LearningAdvanced4.7Free

Unsupervised Learning, Recommenders, Reinforcement Learning

Learn DeepLearning.AIUnsupervised Learning, Recommenders, Reinforcement LearningCourse

Intermediate4.4Free

Reinforcement Learning: Theory to Practice

Master RL algorithms from Q-learning to PPO. Build agents that learn from interaction and make optimal decisions.

AI Guru AcademyIntermediate4.9$20

Reinforcement Learning on AWS

Comprehensive course on Reinforcement Learning on AWS taught by AWS. Part of AWS ML curriculum.

Machine LearningAdvanced4.6Free

Reinforcement Learning: Complete Course with Python

Learn Reinforcement Learning: Complete Course with Python

UdemyAdvanced4.2Free

Deep Learning and Reinforcement Learning with Tensorflow

Are you short on time to start from scratch to use deep learning to solve complex problems involving topics like neural networks and reinforcement learning? Than this course is for you!This course is designed to help you to overcome various data science problems by using efficient deep learning models built in TensorFlow. You will begin with a quick introduction to TensorFlow essentials. Next, you start with deep neural networks for different problems and also explore the applications of Convolutional Neural Networks on two real datasets. We will than walk you through different approaches to RL. You’ll move from a simple Q-learning to a more complex, deep RL architecture and implement your algorithms using Tensorflow’s Python API. You’ll be training your agents on two different games in a number of complex scenarios to make them more intelligent and perceptive.By the end of this course, you’ll be able to implement RL-based solutions in your projects from scratch using Tensorflow and Python. Also you will be able to develop deep learning based solutions to any kind of problem you have, without any need to learn deep learning models from scratch, rather using tensorflow and it’s enormous power.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, Hands-on Deep Learning with TensorFlow is designed to help you to overcome various data science problems by using efficient deep learning models built in TensorFlow.The course begins with a quick introduction to TensorFlow essentials. Next, we start with deep neural networks for different problems and then explore the applications of Convolutional Neural Networks on two real datasets. If you’re facing time series problem then we will show you how to tackle it using RNN. We will also highlight how autoencoders can be used for efficient data representation. Lastly, we will take you through some of th

Udemybeginner$199.99

Applied AI: Unsupervised, Deep & Reinforcement Learning

This course teaches the fundamentals and principal AI concepts about clustering, dimensionality reduction, reinforcement learning, and deep learning to solve real-life problems. Students will learn the basics of several machine learning topics to help solve real-life challenges, including unsupervised learning techniques such as clustering and dimensionality reduction.

edXBeginner4.4Free

AI Skills: Introduction to Unsupervised, Deep and Reinforcement Learning

This course covers the fundamentals of unsupervised learning techniques such as clustering and dimensionality reduction to make sense of large, unlabeled datasets. You will learn to implement k-means and hierarchical clustering.

edXIntermediate4.4Free

Build AI Agents and Multi-Agent Systems with CrewAI

Lead the GenAI revolution with this CrewAI course. Build and manage AI agents capable of intricate workflows, leverage agentic workflows, integrate LLMs, and future-proof your skills in AI automation.

Educative.iointermediate$79

Reinforcement Learning Explained

This course introduces the fundamentals of reinforcement learning, guiding learners on how to frame RL problems and tackle classic examples. It covers basic algorithms and progresses to using function approximation with deep learning. It also features 'Project Malmo' for AI experimentation within Minecraft.

edXIntermediate4.4Free

Fine-tuning and Reinforcement Learning for LLMs: Intro to Post-Training

In partnership with AMD, this course teaches how to apply fine-tuning and reinforcement learning to improve LLM behavior, reasoning, and safety. You will learn about the post-training lifecycle, core techniques like RLHF and LoRA, and how to design evaluations to detect issues like reward hacking and diagnose failures.

DeepLearning.AIIntermediate4.5Free