Lectures related to Reinforcement

Internal States and Hierarchical Control

Explores internal states and hierarchical control in robotics, focusing on behaviors and neural circuits for hunger.

Covers the stability of piles and systems, including design considerations for concrete bridge slabs.

Explores preload adjustments, timing parameters, stimulus delivery, and calibrations in biomechanics.

Explores the evolution of modern NLP from GPT-2 to GPT-3, emphasizing in-context learning and the development of ChatGPT.

Principled Reinforcement Learning with Human Feedback

Delves into Reinforcement Learning with Human Feedback, discussing convergence of estimators and introducing a pessimistic approach for improved performance.

Understanding Neurorobotics

Explores the link between intelligence, the brain, and behavior through neurorobotics.

Reinforcement Learning: Reward-based Learning

Explores artificial neural networks, reward information in the brain, animal conditioning, deep reinforcement learning, and a quiz on rewards.

Mastery Learning and Instructional Design

Explores mastery learning, behaviorism, and instructional design, emphasizing personalized instruction and the effectiveness of Intelligent Tutoring Systems.

Acquiring Data for Learning

Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.

Neural Networks for Action Learning: Brain Implementation Insights

Explores neural networks for action learning and the brain's reinforcement learning implementation.

Mastery Learning: Classical Conditioning

Explores mastery learning through classical conditioning, behaviorism principles, and intelligent tutoring systems.

Reinforcement Learning for Pacman

Explores applying reinforcement learning to teach Pacman to play autonomously using policy gradient methods and Markov decision processes.

Welding Techniques: Groove Thickness, Non-Destructive Testing, Defects, and Steel Quality

Discusses weld groove thickness, non-destructive testing, common defects, and steel quality in welding.

Markov Decision Processes: Foundations of Reinforcement Learning

Covers Markov Decision Processes, their structure, and their role in reinforcement learning.

Learning to Find a Goal

Delves into a biologically inspired version of Reinforcement Learning, focusing on maze navigation and the implementation of spiking neurons.

Behaviorism: Classical, Operant Conditioning & Law of Effect Log in to Mediaspace to watch this video

Explores classical and operant conditioning principles, the Law of Effect, and reinforcement concepts.

Understanding Motivation: Internal Processes and Environmental Influences Log in to Mediaspace to watch this video

Explores motivation, rewards, and the impact of the environment on behavior.

Introduction to Reinforcement Learning: Key Concepts and Applications Log in to Mediaspace to watch this video

Introduces reinforcement learning, covering its definitions, applications, and theoretical foundations, while outlining the course structure and objectives.

Deep Learning Agents: Reinforcement Learning Log in to Mediaspace to watch this video

Explores Deep Learning Agents in Reinforcement Learning, emphasizing neural network approximations and challenges in training multiagent systems.

Advanced Design of Concrete Structures Log in to Mediaspace to watch this video

Delves into advanced concrete structure design, covering loads, slabs, beams, calculations, and corbel models.