Deep Reinforcement Learning Courses and Certifications

Deep Reinforcement Learning in Python

Learn and use powerful Deep Reinforcement Learning algorithms, including refinement and optimization techniques.

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

Tractable Novelty Exploration Over Continuous and Discrete Sequential Decision Problems

Explore cutting-edge width-based planning algorithms for sequential decision problems, covering continuous dynamics, polynomial approximations of novelty, and comparisons with deep reinforcement learning.

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

Yannic Kilcher

ReBeL - Combining Deep Reinforcement Learning and Search for Imperfect-Information Games

Explores ReBeL, an AI framework combining reinforcement learning and search for imperfect-information games. Explains its application to poker, convergence to Nash equilibrium, and superhuman performance with minimal domain knowledge.

• YouTube
• 1 hour 12 minutes
• 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

Simons Institute

Deep Robust Reinforcement Learning and Regularization

Explore robust reinforcement learning, addressing uncertainties in deep RL through regularization techniques. Gain insights into robust MDPs, policy evaluation, and uncertainty-aware Bellman equations.

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

Simons Institute

Mixed Autonomy Traffic: A Reinforcement Learning Perspective

Explore reinforcement learning for mixed autonomy traffic, focusing on counterfactual reasoning, urban simulation, and transfer learning to address societal challenges in transportation.

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

Simons Institute

Learning Exploration Strategies with Meta-Reinforcement Learning

Discover meta-reinforcement learning strategies for efficient exploration in complex environments, focusing on posterior sampling and task-relevant information.

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

Simons Institute

Offline Deep Reinforcement Learning Algorithms

Explore offline deep reinforcement learning algorithms, their challenges, and solutions like conservative Q-learning, with insights on modern machine learning and overcoming distributional shift.

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

Simons Institute

MOPO - Model-Based Offline Policy Optimization

Learn about MOPO, a model-based approach for offline reinforcement learning, addressing challenges in distributional domain shift and improving policy optimization.

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

Databricks

Productionizing Deep Reinforcement Learning with Spark and MLflow

Aprenda a aplicar Deep Reinforcement Learning em escala usando Spark e MLflow para personalização de jogos e aumento de engajamento, com dicas práticas para superar desafios de produção.

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

Simons Institute

Fast Reinforcement Learning With Generalized Policy Updates

Explore advanced techniques in deep reinforcement learning, focusing on generalized policy updates for rapid learning and improved performance in complex environments.

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

Simons Institute

Attacking the Off-Policy Problem With Duality

Explore deep reinforcement learning techniques to address off-policy challenges using duality principles, enhancing AI decision-making in complex environments.

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

Nicholas Renotte

Deep Reinforcement Learning Tutorial for Python

Learn to create OpenAI Gym environments, build deep learning models, and train reinforcement learning agents using Tensorflow, Keras, and Keras-RL in this hands-on tutorial for Python developers.

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

Nicholas Renotte

Deep Reinforcement Learning for Atari Games Python Tutorial - AI Plays Space Invaders

Learn to build AI models that play Space Invaders using Python, OpenAI Gym, and TensorFlow. Explore reinforcement learning techniques to create autonomous game-playing agents and improve your coding skills.

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

Alan Turing Institute

Gaming for Military Precision Decisions - Simon Lucas

Explore how Game AI and statistical forward planning algorithms can enhance military decision-making and operational planning, with insights from Simon Lucas.

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