Swarm robotics in wireless distributed protocol design for coordinating robots involved in cooperative tasks
Sign Up to like & getrecommendations! Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2819-9
Abstract: The mine detection in an unexplored area is an optimization problem where multiple mines, randomly distributed throughout an area, need to be discovered and disarmed in a minimum amount of time. We propose a strategy… read more here.
Keywords: cooperative tasks; swarm robotics; robotics wireless; area ... See more keywords
FMRQ—A Multiagent Reinforcement Learning Algorithm for Fully Cooperative Tasks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2544866
Abstract: In this paper, we propose a multiagent reinforcement learning algorithm dealing with fully cooperative tasks. The algorithm is called frequency of the maximum reward Q-learning (FMRQ). FMRQ aims to achieve one of the optimal Nash… read more here.
Keywords: cooperative tasks; reinforcement learning; fully cooperative; learning algorithm ... See more keywords
Learning Automata-Based Multiagent Reinforcement Learning for Optimization of Cooperative Tasks
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3025711
Abstract: Multiagent reinforcement learning (MARL) has been extensively used in many applications for its tractable implementation and task distribution. Learning automata, which can be classified under MARL in the category of independent learner, are used to… read more here.
Keywords: optimization; cooperative tasks; reinforcement learning; multiagent reinforcement ... See more keywords
Knowledge Reuse of Multi-Agent Reinforcement Learning in Cooperative Tasks
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24040470
Abstract: With the development and appliance of multi-agent systems, multi-agent cooperation is becoming an important problem in artificial intelligence. Multi-agent reinforcement learning (MARL) is one of the most effective methods for solving multi-agent cooperative tasks. However,… read more here.
Keywords: agent; multi agent; cooperative tasks; reinforcement learning ... See more keywords