Agentic AI systems sit on top of large language models and connect to tools, memory, and external environments. They already support scientific discovery, software development, and clinical research, ...
Flow-GRPO (Flow-based Group Refined Policy Optimization) converts long-horizon, sparse-reward optimization into tractable single-turn updates: Benchmarks. The research team evaluates four task types: ...
The rapid evolution of modern electric power distribution systems into complex networks of interconnected active devices, distributed generation (DG), and storage poses increasing difficulties for ...
Abstract: In this review/tutorial article, we present recent progress on optimal control of partially observed Markov Decision Processes (POMDPs). We first present regularity and continuity conditions ...
In health economic evaluations, model parameters are often dependent on other model parameters. Although methods exist to simulate multivariate normal (MVN) distribution data and estimate transition ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Markov state models (MSM) are a popular statistical method for analyzing the ...
Causal Reinforcement Learning (CRL) is a suite of algorithms, embeds causal knowledge into RL for more efficient and effective model learning, policy evaluation, or policy optimization. How causality ...
Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results