YoVDO

Programmatic Strategy Synthesis: Resolving Nondeterminism in Probabilistic Programs

Offered By: ACM SIGPLAN via YouTube

Tags

Probabilistic Programming Courses Markov Decision Processes Courses Imperative Programming Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 17-minute conference talk from POPL 2024 that delves into programmatic strategy synthesis for resolving nondeterminism in probabilistic programs. Learn how researchers from RWTH Aachen University develop a semi-automatic approach using deductive verification techniques to find memoryless and deterministic strategies that satisfy quantitative specifications in programs involving both randomization and pure nondeterminism. Discover the application of weakest precondition-style frameworks for loop-free programs and the use of loop invariants for programs with loops. Gain insights into the relationship between this technique and strategy obtainment in countably infinite Markov decision processes with reachability-reward objectives. Examine case studies demonstrating the practical application of this innovative approach to program verification and strategy synthesis.

Syllabus

[POPL'24] Programmatic Strategy Synthesis: Resolving Nondeterminism in Probabilistic Progr...


Taught by

ACM SIGPLAN

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Decision-Making for Autonomous Systems
Chalmers University of Technology via edX
Fundamentals of Reinforcement Learning
University of Alberta via Coursera
A Complete Reinforcement Learning System (Capstone)
University of Alberta via Coursera
An Introduction to Artificial Intelligence
Indian Institute of Technology Delhi via Swayam