Deep Reinforcement Learning Courses and Certifications

Artificial Intelligence for Simple Games

268 ratings at Udemy

Learn how to use powerful Deep Reinforcement Learning and Artificial Intelligence tools on examples of AI simple games!

• Udemy
• 12 hours 24 minutes
• On-Demand
• Paid Course

Curiosity Driven Deep Reinforcement Learning

118 ratings at Udemy

How Agents Can Learn In Environments With No Rewards

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

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

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

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

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

Yannic Kilcher

Playing Atari with Deep Reinforcement Learning - Paper Explained

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.

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

Yannic Kilcher

Chip Placement with Deep Reinforcement Learning

Deep reinforcement learning optimizes chip placement, outperforming human experts in speed and efficiency. This AI-driven approach learns from experience, generalizes to new designs, and minimizes power, performance, and area constraints.

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

Yannic Kilcher

The AI Economist - Improving Equality and Productivity with AI-Driven Tax Policies

Explore AI-driven tax policies that balance equality and productivity through reinforcement learning, revealing emergent strategies and outperforming traditional economic models in simulations and human experiments.

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

Yannic Kilcher

Thinking While Moving - Deep Reinforcement Learning with Concurrent Control

Explore concurrent control in reinforcement learning, where agents make decisions while executing actions, revolutionizing robotic movement and decision-making processes.

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