VinAI
Generative Sequence Models for Sequential Decision Making
Explore generative sequence models for decision-making under uncertainty. Learn how Transformer architecture and language modeling advances can enhance offline learning, online exploration, and multi-task generalization in AI.
YouTube1 hour 10 minutesSelf-pacedFree video
Institute for Pure & Applied Mathematics (IPAM)
Learning Libraries of Programmatic Policies
Discover how artificial agents can learn and maintain libraries of reusable behaviors for solving sequential decision-making problems through programming and neural network approaches.
YouTube54 minutesSelf-pacedFree video
Institute for Pure & Applied Mathematics (IPAM)
Sequential Decision Making Under Uncertainty - Information Asymmetry in AI Systems
Delve into sequential decision-making under uncertainty, exploring persuasion and mechanism design in information asymmetry scenarios, with applications to AI and dynamic modeling frameworks.
YouTube53 minutesSelf-pacedFree video