Paul G. Allen School Courses

Uncertainty Quantification for Learning-Enabled Robots

Exploring formal assurances for learning-enabled robots using vision and language inputs. Focuses on uncertainty quantification techniques to enhance safety and reliability in novel scenarios.

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

Toward Total Scene Understanding for Autonomous Driving

Exploring machine learning advancements in autonomous driving, focusing on perception, prediction, and planning. Discusses impact on accessibility and future AI agent capabilities.

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

Introducing AccessMap Multimodal - Including the Nonvisual Experience

Explore AccessMap Multimodal's innovative features for inclusive navigation, focusing on nonvisual experiences and enhancing accessibility for diverse users in urban environments.

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

Introducing AccessMap Multimodal - Including the Nonvisual Experience

Explore AccessMap Multimodal's innovative approach to inclusive navigation, focusing on nonvisual experiences and enhancing accessibility for diverse users in urban environments.

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

Tools for Equitable Transportation Planning with TDEI Infrastructure

Explore innovative tools for equitable transportation planning using TDEI Infrastructure. Learn how technology can enhance accessibility and promote inclusive urban mobility solutions.

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

Tools for Equitable Transportation Planning with the TDEI Infrastructure

Explore equitable transportation planning tools using TDEI Infrastructure. Learn innovative approaches for creating inclusive and accessible urban mobility systems.

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

Generalizing Outside the Training Distribution through Compositional Generation

Explore compositional generative modeling for AI generalization beyond training data, enabling complex planning and decision-making in unseen tasks and environments.

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

Data-Driven Fine Manipulation in Robotics - 2024 Winter Robotics Colloquium

Data-driven approaches for fine manipulation in robotics, enhancing precision and adaptability. Research focuses on empowering general-purpose hardware systems to automate delicate tasks using imitation learning and reinforcement learning techniques.

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

A Data-Driven Future for Atmospheric Chemistry, Wildfires, Climate, and Society

Explore data-driven approaches in atmospheric science, focusing on ML models for global chemistry, air pollution sensor networks, and prescribed fire modeling to address climate change and wildfires.

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

Toward Total Scene Understanding for Autonomous Driving

Explore cutting-edge machine learning techniques for autonomous vehicles, covering perception, prediction, planning, and simulation. Learn about Waymo's research on enhancing AI capabilities for real-world environments.

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

Imitating Shortest Paths in Simulation for Real-World Robot Navigation and Manipulation

Exploring how imitating shortest path planners in simulation can produce effective real-world robots for navigation and manipulation, without human demonstrations or reinforcement learning.

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

Computational Methods for Human Networks and High-Stakes Decisions

Computational methods for analyzing human networks and their impact on high-stakes decisions, focusing on COVID-19 pandemic response, political polarization, and supply chain resilience.

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

Beyond Test Accuracies for Studying Deep Neural Networks

Explore deep neural networks beyond test accuracies, focusing on model construction, optimization, and inference. Gain insights into generative multitask learning, learning trajectories, and language model consistencies.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Inverse RL in Real Life: Lessons Learned in Google Maps - 2024 Winter Robotics Colloquium

Insights on scaling Inverse Reinforcement Learning for Google Maps, discussing challenges, trade-offs, and a new method that improved route quality by 16-24% in real-world applications.

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

GraphLab - Machine Learning for Big Data in the Cloud

Explore GraphLab, a framework for efficient parallel machine learning algorithms handling Big Data. Learn about its advantages over existing tools and its impact on large-scale tasks.

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