One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...
We present Prover Agent, a novel AI agent for automated theorem proving that integrates large language models (LLMs) with a formal proof assistant, Lean. Prover Agent coordinates an informal reasoning ...
Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...
Abstract: This paper presents a simulation-based benchmarking analysis of three reinforcement learning (RL) algorithms—Soft Actor-Critic (SAC), Deep Q-Network (DQN), and Proximal Policy Optimization ...
The FLAMES is a general purpose adsorption simulation toolbox built around the Atomic Simulation Environment (ASE), which provides tools for molecular simulations and adsorption studies using machine ...
Abstract: This letter presents a multi-agent deep reinforcement learning-based framework for joint beam hopping and resource allocation in the secondary LEO system within a cognitive GEO-LEO satellite ...
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