Analysing factorizations of action-value networks for cooperative multi-agent reinforcement learning
Sign Up to like & getrecommendations! Published in 2021 at "Autonomous Agents and Multi-Agent Systems"
DOI: 10.1007/s10458-021-09506-w
Abstract: Recent years have seen the application of deep reinforcement learning techniques to cooperative multi-agent systems, with great empirical success. However, given the lack of theoretical insight, it remains unclear what the employed neural networks are… read more here.
Keywords: agent; value; reinforcement learning; multi agent ... See more keywords
De novo endo-functionalized organic cages as cooperative multi-hydrogen-bond-donating catalysts.
Sign Up to like & getrecommendations! Published in 2017 at "Chemical communications"
DOI: 10.1039/c7cc00938k
Abstract: Two endo-functionalized organic cages as oxyanion hole mimics were achieved via dynamic covalent chemistry, which exhibit good size selectivity, catalytic activity and broad substrate scopes for Friedel-Crafts reactions. The modular character of the synthesis provides… read more here.
Keywords: cages cooperative; functionalized organic; cooperative multi; organic cages ... See more keywords
MARL-Based Cooperative Multi-AGV Control in Warehouse Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3206537
Abstract: Automated guided vehicles (AGVs) are essential components for the automation of fulfillment centers, a type of warehouse, where goods are stored on shelves and carried by AGVs. To increase the productivity in inventory management, a… read more here.
Keywords: marl based; control; cooperative multi; proposed scheme ... See more keywords
Learning Cooperative Multi-Agent Policies With Partial Reward Decoupling
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3135930
Abstract: One of the preeminent obstacles to scaling multi-agent reinforcement learning to large numbers of agents is assigning credit to individual agents’ actions. In this letter, we address this credit assignment problem with an approach that… read more here.
Keywords: partial reward; reward decoupling; multi agent; multi ... See more keywords
A Novel Adaptive FCM with Cooperative Multi-Population Differential Evolution Optimization
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15100380
Abstract: Fuzzy c-means (FCM), the fuzzy variant of the popular k-means, has been used for data clustering when cluster boundaries are not well defined. The of initial cluster prototypes (or the initialization of cluster memberships), and… read more here.
Keywords: methodology; multi population; cooperative multi; differential evolution ... See more keywords
An Abstract Framework for Non-Cooperative Multi-Agent Planning
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9235180
Abstract: This work was partially funded by MINECO/FEDER RTI2018-095390-B-C31 project of the Spanish government. Jaume Jordan and Vicent Botti are funded by Universitat Politecnica de Valencia (UPV) PAID-06-18 project. Jaume Jordan is also funded by grant… read more here.
Keywords: non cooperative; abstract framework; agent planning; multi agent ... See more keywords