IEEE5d
CAMP: Counterexamples, Abstraction, MDPs, and Policy Refinement for Enhancing Safety, Stability, and Rewards in Reinforcement Learning
This study addresses these issues by proposing a novel approach that combines counterexample-driven cluster refinement with a Markov Decision Process–Proximal Policy Optimization (MDP-PPO) hybrid ...
Aeon1dOpinion
Raising the threshold
The World Bank’s poverty line is inaccurate and out of date – an error that obscures the feebleness of market solutions ...
Nature3d
Statistical methods articles from across Nature Portfolio
Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...
Scientific Research Publishing14h
Solution Concepts and New Optimality Conditions in Bilevel Multiobjective Programming ()
Department of Computer Sciences, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. Department of Mathematics, Faculty of Science, University of Yaoundé I, Yaoundé, Cameroon. Regional ...
GitHub6d
README.md
with the given inital set with the initial set as some single state (will be read in later). On the following x lines, input a single LTL formula. On the following y lines, input an integer (which is ...
GitHub5d
arxiv.md
Patched RTC: evaluating LLMs for diverse software development tasks 2407.16557 https://github.com/codelion/optillm/blob/main/optillm/rto.py 2024-07-23 CREF: An LLM ...
marktechpost3d
Machine Learning
Nevertheless, traditional attention methods primarily depend on single token attention, where each attention weight is computed from a single pair ...