Consider a collection of r identical asynchronous mobile agents dispersed on an arbitrary anonymous network of size n. The agents all execute the same protocol and move from node ...
Reinforcement learning techniques are increasingly being used to solve di cult problems in control and combinatorial optimization with promising results. Implicit imitation can acc...
Visualizations of space, time, and agents (or objects) are ubiquitous in science, business, and everyday life, from weather maps to scheduling meetings. Effective communications, i...
We present a novel algorithm that allows agents to discover a navigation mesh for an environment as they move through the environment. The Navigation-Mesh Automated Discovery (NMA...
D. Hunter Hale, G. Michael Youngblood, Nikhil S. K...
Recent rise in maritime piracy prompts the search for novel techniques for addressing the problem. We therefore developed AgentC, a prototype system that demonstrates how agent-ba...
Michal Jakob, Ondrej Vanek, Branislav Bosansk&yacu...