Offline Reinforcement Learning Courses and Certifications

Simons Institute

Generalization and Robustness in Offline Reinforcement Learning

Explore offline reinforcement learning for safety-critical applications, covering generalization, robustness, and imitation learning in large-scale settings with rich function approximation.

• YouTube
• 54 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

What Are the Statistical Limits of Offline Reinforcement Learning With Function Approximation?

Explore statistical limitations in offline reinforcement learning with function approximation, covering realizability, coverage, policy evaluation, and practical considerations.

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

Simons Institute

Discussion - Offline Reinforcement Learning

Explore offline reinforcement learning, covering data sets, optimism under uncertainty, state coverage, and policy evaluation. Gain insights into pragmatic and conceptual approaches.

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

Simons Institute

Batch Offline Reinforcement Learning - Part 1

Explore offline reinforcement learning theory, covering key concepts, challenges, and evaluation methods for developing AI systems using pre-collected data.

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

Montreal Robotics

RobotLearning: Scaling Offline Reinforcement Learning

Explore offline reinforcement learning techniques for robots, including trajectory stitching, model-based approaches, Decision Transformers, and methods for integrating offline data into training pipelines.

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

SK AI SUMMIT 2024

Offline Reinforcement Learning for Process Control - CDU Air Fan Cooler Control Application

Discover how offline reinforcement learning can optimize crude distillation unit control through historical data analysis, avoiding costly trial-and-error approaches in industrial process control systems.

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

Yannic Kilcher

Decision Transformer - Reinforcement Learning via Sequence Modeling

Explore how Decision Transformer reframes offline reinforcement learning as sequence modeling, leveraging Transformer architecture to generate optimal actions based on desired returns, past states, and actions.

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

Pascal Poupart

Bayesian RL

Explore Bayesian reinforcement learning techniques, including planning, sampling, and value iteration, to optimize decision-making in uncertain environments.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Yannic Kilcher

Can Wikipedia Help Offline Reinforcement Learning? - Paper Explained

Exploring how pre-training on Wikipedia improves offline reinforcement learning models, enhancing performance, reducing parameters, and revealing connections between language and RL domains.

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

Yannic Kilcher

Can Wikipedia Help Offline Reinforcement Learning - Author Interview

Exploring the potential of pre-trained language models in offline reinforcement learning, discussing experimental results, model performance, and future directions for leveraging sequence modeling techniques in RL tasks.

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

Stanford CS234 - Reinforcement Learning - Spring 2024

Master reinforcement learning fundamentals through Stanford's comprehensive program covering MDP planning, policy evaluation, Q-learning, exploration strategies, and deep RL applications.

• YouTube
• 20 hours 11 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

Association for Computing Machinery (ACM)

Adaptive Policy Regularization for Offline to Online Reinforcement Learning in HVAC Control

Explore advanced reinforcement learning techniques for HVAC systems, focusing on adaptive policy regularization methods that bridge offline and online control strategies.

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

CAP6412 - Final Project Presentations - Lecture 27

Final project presentations showcasing innovative approaches in video action recognition, offline reinforcement learning, and decision transformer encoders, with discussions on methodologies, results, and implications.

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