Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...
Abstract: The max-min fair (MMF) resource allocation problem in rate-splitting multiple access (RSMA) systems usually faces the issues of high computational complexity and implement difficulty in real ...
Greenland, the largest island on Earth, possesses some of the richest stores of natural resources anywhere in the world. These include critical raw materials – resources such as lithium and rare earth ...
Abstract: Game-theoretic resource allocation on graphs (GRAG) involves two players competing over multiple steps to control nodes of interest on a graph, a problem modeled as a multi-step Colonel ...
Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...
0267_RL_for_resource_allocation/ ├── src/ # Source code │ ├── agents/ # RL agents implementation │ │ ├── __init__.py │ │ └── agents.py # PPO, SAC, TD3, Policy Gradient │ ├── envs/ # Environment ...
Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...
Bio-inspired computational methods have gained popularity recently. These methods mimic the seemingly complex behavior of organisms to tackle difficult and often overwhelming problems. For example, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results