Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Autonomous Vehicles: Trajectory Prediction and Social Behavior

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (30)

Foundations of Deep Learning: Transformer Architecture Overview Log in to Mediaspace to watch this video

Covers the foundational concepts of deep learning and the Transformer architecture, focusing on neural networks, attention mechanisms, and their applications in sequence modeling tasks.

Perceptual Robotics: Integrating Vision and Action Log in to Mediaspace to watch this video

Covers the integration of visual perception and robotic actions in embodied AI.

Geometric Insights on Deep Learning Models Log in to Mediaspace to watch this video

Delves into the geometric insights of deep learning models, exploring their vulnerability to perturbations and the importance of robustness and interpretability.

Reinforcement Learning: Basics and Applications Log in to Mediaspace to watch this video

Covers the basics of reinforcement learning, including Markov Decision Processes and policy gradient methods, and explores real-world applications and recent advances.

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

Introduces reinforcement learning, covering its concepts, applications, and key algorithms.

Neuroscience and AI: Bridging the Gap Log in to Mediaspace to watch this video

Explores the gap between AI and human intelligence through neuroscience-inspired models and algorithms.

Quantitative Imaging for Civil Engineering Log in to Mediaspace to watch this video

Explores quantitative imaging techniques for civil engineering, covering ToF sensors, LIDAR technology, ultrasound sensors, structured light, stereo cameras, and depth estimation via deep learning.

Neuroscience and Machine Learning Log in to Mediaspace to watch this video

Explores the intricate relationship between neuroscience and machine learning, highlighting the challenges of analyzing neural data and the role of machine learning tools.

Discovering Composable Modules in Meta-learning Log in to Mediaspace to watch this video

Explores discovering composable modules in meta-learning, focusing on flexible machine learning frameworks and the role of inductive biases.

Model-Free Prediction in Reinforcement Learning: Key Methods Log in to Mediaspace to watch this video

Covers model-free prediction methods in reinforcement learning, focusing on Monte Carlo and Temporal Differences for estimating value functions without transition dynamics knowledge.

Page 2 of 2