Model Based Reinforcement Learning Courses and Certifications

Simons Institute

Model-Based Reinforcement Learning with Value-Targeted Regression

Explore model-based reinforcement learning with value-targeted regression, covering episodic RL, UCRL, deterministic systems, and the MatrixRL algorithm.

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

Institute for Advanced Study

The Challenges of Model-Based Reinforcement Learning and How to Overcome Them - Csaba Szepesvári

Explore challenges in model-based reinforcement learning, including modeling errors and efficient planning, and discover strategies to overcome them in complex environments.

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

INI Seminar Room 2

Well-Posedness of Singular Switched Explicit Models and Potential Applications in Model-Based Reinforcement Learning for Constrained Systems

Explore well-posedness of singular switched explicit models and their applications in model-based reinforcement learning for constrained systems.

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

INI Seminar Room 2

Well-Posedness of Singular Switched Explicit Models and Potential Applications in Model-Based Reinforcement Learning for Constrained Systems

Explore well-posedness of singular switched explicit models and their applications in model-based reinforcement learning for constrained systems.

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

Yannic Kilcher

Mastering Atari with Discrete World Models - Machine Learning Research Paper Explained

Explore cutting-edge reinforcement learning with DreamerV2, a model-based AI agent achieving human-level performance on Atari games using discrete world models and latent space predictions.

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

Pascal Poupart

Partially Observable RL

Explore partially observable reinforcement learning, covering Markov decision processes, hidden Markov models, and belief monitoring in this comprehensive lecture.

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

Pascal Poupart

Model-Based RL

Explore model-based reinforcement learning, including complex models, Dyna algorithm, search trees, and Monte Carlo methods for effective planning and decision-making.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

Discover AI

Dream to Chat - Model-based Reinforcement Learning on Dialogues with User Belief Modeling and LSD-3D - Large-Scale 3D Driving Scene Generation with Geometry Grounding

Discover cutting-edge AI research from Geely and Mercedes-Benz on dialogue systems with user belief modeling and large-scale 3D driving scene generation for autonomous vehicles.

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

Steve Brunton

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

Explores SINDy-RL, a framework combining sparse identification of nonlinear dynamics with reinforcement learning for efficient, interpretable control policies in complex environments.

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

Reinforcement Learning

This MOOC teaches the basics in reinforcement learning. It provides participants with a solid mathematical basis to study new methods from reinforcement learning research and put them into practice.

• edX
• 8 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Steve Brunton

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

Explore dynamic programming in model-based reinforcement learning, covering policy iteration, value iteration, and Q-learning for effective decision-making strategies.

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

Simons Institute

Offline Reinforcement Learning and Model-Based Optimization

Explore offline reinforcement learning and model-based optimization techniques, focusing on data-driven approaches, Q-function lower bounds, and model inversion networks for automated decision-making.

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

Simons Institute

Practical Model-Based Algorithms for Reinforcement Learning and Imitation Learning

Explore efficient model-based algorithms for reinforcement and imitation learning, addressing challenges in learning dynamics and uncertainty, with practical examples and evaluations.

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

Stanford CS330: Deep Multi-Task and Meta Learning

Explore advanced machine learning techniques for efficient learning across multiple tasks, including optimization-based meta-learning, Bayesian approaches, and reinforcement learning applications.

• YouTube
• 18 hours
• On-Demand
• Free Online Course

Alexander Amini;  MIT

Generalizable Autonomy for Robot Manipulation

Explore generalizable autonomy in robot manipulation through imitation learning, visuo-motor policies, and reinforcement learning techniques. Discover innovative approaches for achieving adaptable and efficient robotic systems.

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