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Found 7 papers, 0 papers with code
Optimal Control Policies to Address the Pandemic Health-Economy Dilemma
Next, several multi-objective evolutionary algorithms are applied to perform a study on the health-economy performance trade-offs that are inherent to the obtained optimal policies.
Scalable Many-Objective Pathfinding Benchmark Suite
However, most of the current route planning algorithms consider only up to three objectives.
sKPNSGA-II: Knee point based MOEA with self-adaptive angle for Mission Planning Problems
Nevertheless, some problems have many objectives which lead to a large number of non-dominated solutions obtained by the optimization algorithms.
Introducing the Hearthstone-AI Competition
The Hearthstone AI framework and competition motivates the development of artificial intelligence agents that can play collectible card games.
A Local Approach to Forward Model Learning: Results on the Game of Life Game
This paper investigates the effect of learning a forward model on the performance of a statistical forward planning agent.
A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation
Object detection is performed on an external camera image of the operation zone providing robot bounding boxes for an identification and orientation estimation convolutional neural network.
How swarm size during evolution impacts the behavior, generalizability, and brain complexity of animats performing a spatial navigation task
While it is relatively easy to imitate and evolve natural swarm behavior in simulations, less is known about the social characteristics of simulated, evolved swarms, such as the optimal (evolutionary) group size, why individuals in a swarm perform certain actions, and how behavior would change in swarms of different sizes.
