Option-Based Multi-Agent Reinforcement Learning for Painting With Multiple Large-Sized Robots
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3145375
Abstract: To ensure an efficient and conflict-free task allocation, this paper presents an option-based multi-agent reinforcement learning (OMARL) method for a cooperative multi-station multi-robot system in aircraft painting application. The problem can be described as a… read more here.
Keywords: option based; reinforcement learning; option; agent reinforcement ... See more keywords
Option-based guarantees to accelerate urgent, high-risk vaccines: a new market-shaping approach.
Sign Up to like & getrecommendations! Published in 2020 at "F1000Research"
DOI: 10.12688/f1000research.26482.1
Abstract: Accelerating the availability of COVID-19 vaccines is critical to preventing further waves and mitigating the impact on society. However, preparations for large-scale manufacturing, such as building production facilities, are typically delayed until a vaccine is… read more here.
Keywords: guarantees accelerate; risk; based guarantees; approach ... See more keywords
Learning Your Options: Option-Based Model of Export Readiness and Optimal Export
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24020173
Abstract: In this short note we offer a novel quantitative approach to modeling of early stages of firm’s internalization, namely stages of accumulation of export readiness and their export debut. In particular, we introduce a new… read more here.
Keywords: option based; export; export readiness; model export ... See more keywords