Results 51 to 60 of about 11,728 (310)
Modeling and Computation of Transboundary Industrial Pollution with Emission Permits Trading by Stochastic Differential Game. [PDF]
PLoS ONE, 2015 Transboundary industrial pollution requires international actions to control its formation and effects. In this paper, we present a stochastic differential game to model the transboundary industrial pollution problems with emission permits trading.
Shuhua Chang, Xinyu Wang, Zheng Wang
doaj +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
Advanced Robotics Research, EarlyView.In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Stochastic imitation in finite games [PDF]
Games and Economic Behavior, 2003 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jens Josephson, Alexander Matros
openaire +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
Best Response Computation in Multiplayer Imperfect-Information Stochastic Games
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Computing a best response is a fundamental task in game theory. One of its uses is to compute the degree of approximation error of an approximation of Nash equilibrium strategies.
Sam Ganzfried
doaj +1 more source
Independent learning in stochastic games
, 2023 An invited chapter for the International Congress of Mathematicians 2022 (ICM 2022)
Asuman E. Ozdaglar +2 more
openaire +2 more sources
Learning in games with unstable equilibria [PDF]
, 2005 We propose a new concept for the analysis of games, the TASP, which gives a precise prediction about non-equilibrium play in games whose Nash equilibria are mixed and are unstable under fictitious play-like learning processes.
Benaim, M. +5 more
core +1 more source
Advanced Robotics Research, EarlyView.DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source
Advanced Science, EarlyView.This study explores the use of N, S co‐doped carbon quantum dots (NS‐CQDs) as carriers for riboflavin, creating NS‐CQDs‐RF composite photosensitizers. These composites improve riboflavin absorption, enhance ROS generation efficiency, and preserve corneal epithelium integrity.
Tinghong Xu +9 more
wiley +1 more source
This paper establishes existence of a stationary Markov perfect equilibrium in general stochastic games with noise—a component of the state that is nonatomically distributed and not directly affected by the previous period’s state and actions.
John Duggan
core +2 more sources