6 citations · 15 across the 16 of their papers we have counts for
5 papers · 1 filter
Neural Bayesian Filtering
Christopher Solinas, Radovan Haluska, David Sychrovsky +6
Sequential estimation under partial observability requires tracking beliefs that may be high-dimensional, multimodal, and non-Gaussian. Classical Bayesian filters generalize zero-s…
Online Submission and Evaluation System Design for Competition Operations
Zhe Chen, Daniel Harabor, Ryan Hechnenberger +1
Research communities have developed benchmark datasets across domains to compare the performance of algorithms and techniques However, tracking the progress in these research areas…
A Parallel CPU-GPU Framework for Batching Heuristic Operations in Depth-First Heuristic Search
Ehsan Futuhi, Nathan R. Sturtevant
The rapid advancement of GPU technology has unlocked powerful parallel processing capabilities, creating new opportunities to enhance classic search algorithms. This hardware has b…
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
David Sychrovský, Christopher Solinas, Revan MacQueen +4
Nash equilibrium is perhaps the best-known solution concept in game theory. Such a solution assigns a strategy to each player which offers no incentive to unilaterally deviate. Whi…
Parallelizing Multi-objective A* Search
Saman Ahmadi, Nathan R. Sturtevant, Andrea Raith +2
The Multi-objective Shortest Path (MOSP) problem is a classic network optimization problem that aims to find all Pareto-optimal paths between two points in a graph with multiple ed…