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Reinforcement Learning

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Explore Q-learning, deep Q networks, and reinforcement learning environments through hands-on tutorials and practical implementations.
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6 Lesons
3 hours 30 minutes
On-Demand
Free-Video
Great Learning

Reinforcement Learning in Artificial Intelligence - Full Course

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Keeping the importance of Reinforcement Learning in mind, we have come up with this full course by Great Learning Faculty Dr. Narayana Darapaneni. Dr. Narayana holds a PhD in Mathematics from Pierre and Marie Curie University, Paris, France.
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7 Lesons
4 hours 26 minutes
On-Demand
Free-Video
Great Learning

Machine Learning with Python - Tutorial for Beginners

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Comprehensive Python-based machine learning tutorial covering data manipulation, visualization, statistics, and reinforcement learning, with practical examples and a smart taxi case study.
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12 Lesons
10 hours 37 minutes
On-Demand
Free-Video
Steve Brunton

Reinforcement Learning - Machine Learning Meets Control Theory

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Explore reinforcement learning's intersection with control theory, covering key concepts, algorithms, and applications in this comprehensive overview of machine learning's powerful technique.
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9 Lesons
26 minutes
On-Demand
Free-Video
Steve Brunton

Reinforcement Learning

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Explora el Aprendizaje por Refuerzo, desde métodos básicos hasta redes neuronales y aplicaciones en dinámica de fluidos y control, en esta serie de 3.5 horas por Steve Brunton.
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8 Lesons
3 hours 30 minutes
On-Demand
Free-Video
The Julia Programming Language

MDPs - Markov Decision Processes - Decision Making Under Uncertainty Using POMDPs.jl

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Explore Markov Decision Processes and decision-making under uncertainty using POMDPs.jl. Learn about MDPs, Grid World, solvers, reinforcement learning, and visualization techniques in Julia.
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34 Lesons
49 minutes
On-Demand
Free-Video
Institute for Advanced Study

Provably Efficient Reinforcement Learning with Linear Function Approximation - Chi Jin

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Explore efficient reinforcement learning with linear function approximation, covering key concepts like sample efficiency, value-based algorithms, and exploration in multi-armed bandits and linear MDPs.
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14 Lesons
28 minutes
On-Demand
Free-Video
Simons Institute

Reinforcement Learning

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Explore reinforcement learning's foundations, applications, and advanced concepts, including Q-learning, exploration-exploitation trade-offs, and instance-optimality in policy evaluation.
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17 Lesons
31 minutes
On-Demand
Free-Video
HuggingFace

Training Neural Networks for Temporal Difference Model Predictive Control - Part 2

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Dive into the technical aspects of training neural networks in TD-MPC, covering TD learning, Q network optimization, and data collection strategies for robotic control systems.
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9 Lesons
38 minutes
On-Demand
Free-Video
Discover AI

Understanding Q* (Q-star) - From Q-Learning to Maximum Entropy Reinforcement Learning

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Delve into the technical foundations of Q* (Q-star), exploring its roots in physics entropy, reinforcement learning principles, and practical applications in machine learning systems.
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13 Lesons
20 minutes
On-Demand
Free-Video
Eclipse Foundation

Challenges in Reward Design for Reinforcement Learning-based Traffic Signal Control - An Investigation Using CO2 Emission Objective

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Explore the complexities of reward design in reinforcement learning for traffic signal control, focusing on CO2 emission reduction through Deep Q-Network implementation and reward optimization strategies.
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13 Lesons
21 minutes
On-Demand
Free-Video
Edan Meyer

Q Learning Tutorial - Training Loop

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Explore the DQN training loop, covering policy implementation, reward calculation, and key steps in reinforcement learning algorithm implementation.
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6 Lesons
21 minutes
On-Demand
Free-Video
Edan Meyer

Q Learning Tutorial - Experience Replay

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Explore Experience Replay in Q-Learning, focusing on data formatting and implementation. Learn key techniques for improving reinforcement learning algorithms in this hands-on tutorial.
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5 Lesons
27 minutes
On-Demand
Free-Video
Yannic Kilcher

Fast Reinforcement Learning With Generalized Policy Updates - Paper Explained

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Explanation of a novel reinforcement learning framework that enables agents to transfer knowledge between tasks, potentially solving new problems with zero-shot learning through generalized policy updates.
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14 Lesons
55 minutes
On-Demand
Free-Video
Steve Brunton

Q-Learning - Model Free Reinforcement Learning and Temporal Difference Learning

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Explore Q-learning and temporal difference algorithms in reinforcement learning, including SARSA and connections to biological learning through dopamine. Covers key concepts for deep reinforcement learning.
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8 Lesons
36 minutes
On-Demand
Free-Video
Steve Brunton

Model Based Reinforcement Learning - Policy Iteration, Value Iteration, and Dynamic Programming

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Explore dynamic programming in model-based reinforcement learning, covering policy iteration, value iteration, and Q-learning for effective decision-making strategies.
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6 Lesons
27 minutes
On-Demand
Free-Video
Steve Brunton

Reinforcement Learning Series - Overview of Methods

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Comprehensive overview of reinforcement learning methods, covering model-based and model-free approaches, from dynamic programming to deep RL and policy gradient optimization.
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1 Lesons
22 minutes
On-Demand
Free-Video
Digi-Key

Introduction to Reinforcement Learning

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Learn reinforcement learning fundamentals and apply them to solve control problems using Python libraries. Hands-on training with cartpole example and challenge to tackle inverted pendulum problem.
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22 Lesons
1 hour 15 minutes
On-Demand
Free-Video
Yannic Kilcher

Playing Atari with Deep Reinforcement Learning - Paper Explained

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Explore deep reinforcement learning's breakthrough in Atari game mastery using convolutional neural networks, revolutionizing AI with pixel-based control policies and outperforming human experts.
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8 Lesons
39 minutes
On-Demand
Free-Video
Yannic Kilcher

Thinking While Moving - Deep Reinforcement Learning with Concurrent Control

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Explore concurrent control in reinforcement learning, where agents make decisions while executing actions, revolutionizing robotic movement and decision-making processes.
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8 Lesons
30 minutes
On-Demand
Free-Video
Pascal Poupart

Deep Recurrent Q-Networks

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Explore deep reinforcement learning with recurrent neural networks, focusing on LSTM units, Q-learning, and their applications in sequential decision-making problems.
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9 Lesons
28 minutes
On-Demand
Free-Video
Pascal Poupart

Deep Q-Networks

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Learn advanced reinforcement learning techniques, focusing on Deep Q-Networks. Explore approximation, optimization, and practical implementations to enhance AI decision-making capabilities.
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15 Lesons
41 minutes
On-Demand
Free-Video
Simons Institute

Reinforcement Learning in Recommender Systems - Some Challenges

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Explore challenges in applying reinforcement learning to recommender systems, including scale, stochastic action sets, and user learning over long horizons. Gain insights on addressing these issues.
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18 Lesons
52 minutes
On-Demand
Free-Video
Simons Institute

Planning and Markov Decision Processes - Part 2

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Explore advanced concepts in reinforcement learning, including generative models, sample complexity, value equations, and linear programming, with experts from leading institutions.
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15 Lesons
1 hour 13 minutes
On-Demand
Free-Video
Simons Institute

Formal Languages and Automata for Reward Function Specification and Efficient Reinforcement Learning

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Explore formal languages and automata for specifying reward functions in reinforcement learning, focusing on Linear Temporal Logic and Reward Machines to address real-world RL challenges.
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35 Lesons
1 hour 24 minutes
On-Demand
Free-Video
Simons Institute

Foundations of RL

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Explore key reinforcement learning algorithms: TD learning, Q-Learning, and Natural Policy Gradient. Learn about finite-time performance bounds and their underlying principles.
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1 Lesons
1 hour 11 minutes
On-Demand
Free-Video
Simons Institute

Foundations of RL

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Explore key reinforcement learning algorithms: TD learning, Q-Learning, and Natural Policy Gradient. Learn about finite-time performance bounds and their underlying principles.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Jeff Heaton

Introduction to Q-Learning for Game Play - Lecture 12.2

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Explore Q-Learning for game AI: build policy tables, suggest optimal actions, and apply Python techniques for environment-based decision-making in this introduction.
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7 Lesons
24 minutes
On-Demand
Free-Video
Yannic Kilcher

Q-Learning: From Basics to Deep Q-Networks

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Explore Q-Learning fundamentals, from Markov Decision Processes to Deep Q-Networks, in this comprehensive overview of reinforcement learning concepts and applications.
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7 Lesons
46 minutes
On-Demand
Free-Video
Paul G. Allen School

Reinforcement Learning IV - Advanced Concepts and Applications

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Explore advanced reinforcement learning concepts with Stanford's Emma Brunskill, covering cutting-edge techniques and applications in AI decision-making.
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1 Lesons
1 hour 5 minutes
On-Demand
Free-Video
Paul G. Allen School

Reinforcement Learning III - Advanced Concepts and Applications

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Explore advanced reinforcement learning concepts with Stanford's Emma Brunskill, covering cutting-edge techniques and applications in AI decision-making.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
Alexander Amini

Reinforcement Learning - MIT 6.S191 Lecture 5

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Comprehensive exploration of deep reinforcement learning, covering Q-functions, policy gradients, and real-world applications like AlphaGo. Ideal for understanding RL fundamentals and advanced concepts.
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14 Lesons
1 hour
On-Demand
Free-Video
International Centre for Theoretical Sciences

Reinforcement Learning in Action - Lecture 3

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Explore advanced reinforcement learning concepts and applications in this lecture by Massimo Vergassola, part of a comprehensive series on soft and living matter physics.
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1 Lesons
1 hour 39 minutes
On-Demand
Free-Video
ACM SIGPLAN

Formal Specification and Testing for Reinforcement Learning

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Explore formal specification and testing methods for reinforcement learning applications, focusing on temporal difference methods and property-based testing using functional programming techniques.
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1 Lesons
29 minutes
On-Demand
Free-Video
Dave Churchill

Introduction to Artificial Intelligence - Lecture 15: Intro to Reinforcement Learning

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Explore reinforcement learning fundamentals, including key concepts and applications in AI problem-solving environments for modern algorithmic techniques.
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1 Lesons
48 minutes
On-Demand
Free-Video
Institute for Pure & Applied Mathematics (IPAM)

Reinforcement Learning and Architectures of Intelligence - Part 1

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Explore reinforcement learning and intelligence architectures with Microsoft Research's Ida Momennejad in this comprehensive tutorial from IPAM's Mathematics of Intelligences series.
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1 Lesons
1 hour 21 minutes
On-Demand
Free-Video
NDC Conferences

Reinforcement Learning - Pac-Man

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Explore reinforcement learning through building a Pac-Man-beating agent. Gain insights into Q-learning, deep Q-learning with neural networks, and practical implementation using libraries like Keras.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Dave Churchill

Introduction to Artificial Intelligence: Temporal Difference Learning - Lecture 17

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Explore temporal difference learning, on/off-policy methods, and Q-learning. Gain hands-on experience with reinforcement learning algorithms through practical assignments and code examples.
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23 Lesons
1 hour 19 minutes
On-Demand
Free-Video
Dave Churchill

Introduction to Artificial Intelligence - Reinforcement Learning - Lecture 14

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Explore reinforcement learning fundamentals in AI, covering key concepts and techniques for problem-solving in modern environments.
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1 Lesons
1 hour 1 minute
On-Demand
Free-Video
Discover AI

Q-Learning and Hindsight Regeneration for Interactive AI Agents

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Explore groundbreaking Q-Learning techniques for AI agents, featuring Hindsight Regeneration and Q-SFT approaches that enhance conversational AI capabilities through advanced reinforcement learning methods.
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6 Lesons
12 minutes
On-Demand
Free-Video