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Abstract: In response to the modeling difficulties and low search efficiency of traditional weapon-target assignment algorithms, this paper proposes a deep reinforcement learning-based intelligent ...

Abstract: Multiagent dynamic task assignment of forest fires is a complicated optimization problem because it requires the consideration of multiple factors, such as the spread speed of fires, ...

HiPER is a hierarchical reinforcement learning framework for training large language model agents in long-horizon environments. Instead of treating agent behavior as a flat sequence of actions, HiPER ...

A first-order algorithm based on ADMM combining with proximity operator is introduced for the nonconvex model. In addition, the convergence property of the proposed algorithm is analyzed. We note that ...

Harness-1 suggests that the future of agentic AI lies in building better environments for models to work within, rather than ...

Pew Research Center’s 2026 political typology divides the public into nine groups. The assignment of individuals to one of ...

The United States is producing nurse practitioner graduates faster than the clinical training infrastructure can absorb them. NP programs have seen enrollment climb for three consecutive years, yet ...

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Anthropic first announced Mythos in April, calling it a “step change” in capabilities, but opted to tightly control its ...

Union suspends Central Park carriage horse rides for several days to conduct ‘refresher training’ in wake of teen’s death During that time, the roughly 200 carriage horse owners and drivers will ...

Employees shared how they made the leap to AI-related roles, including what they discussed in their job interviews and ...