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
• Self-Paced
• Free Trial Available

Packt

Cutting-Edge Topics in Deep Reinforcement Learning

Master cutting-edge deep RL techniques including continuous action spaces, trust region methods, RLHF, and multi-agent systems, with real-world case studies like AlphaGo Zero and MuZero.

• Coursera
• 7 hours
• Self-Paced
• Paid Course

Packt Credential

Deep Reinforcement Learning Hands-On

Master Deep Reinforcement Learning from foundations to cutting-edge topics, covering PyTorch, DQN, Actor-Critic Methods, robotics, and multi-agent RL for real-world applications.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

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
• Self-Paced
• Free Video

Deep Reinforcement Learning - Frontiers - Lecture 18

Explore cutting-edge frontiers in deep reinforcement learning, covering problem setup, advanced methods, and real-world deployment strategies with Stanford's expert guidance.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Deep Reinforcement Learning - Tutorial Session: Review of Q-Learning

Dive into Q-learning fundamentals with MDP review, parametric approaches, and practical algorithm walkthroughs for deep reinforcement learning mastery.

• YouTube
• 51 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

International Centre for Theoretical Sciences

Deep Reinforcement Learning of Marked Temporal Point Processes

Explore deep reinforcement learning for marked temporal point processes, covering event representation, policy optimization, and applications in information propagation and knowledge creation.

• YouTube
• 36 minutes
• Self-Paced
• 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
• Self-Paced
• Free Video

Yannic Kilcher

Imagination-Augmented Agents for Deep Reinforcement Learning

Explore innovative deep reinforcement learning architecture combining model-free and model-based approaches for improved performance and efficiency in complex environments.

• YouTube
• 15 minutes
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video