Multi-agent reinforcement learning: Methods, applications, visionary prospects, and challenges
Multi-agent reinforcement learning (MARL) is a widely used Artificial Intelligence (AI)
technique. However, current studies and applications need to address its scalability, non …
technique. However, current studies and applications need to address its scalability, non …
Multiagent Reinforcement Learning: Methods, Trustworthiness, Applications in Intelligent Vehicles, and Challenges
Multiagent Reinforcement Learning (MARL) plays a pivotal role in intelligent vehicle
systems, offering solutions for complex decision-making, coordination, and adaptive …
systems, offering solutions for complex decision-making, coordination, and adaptive …
DACOM: Learning delay-aware communication for multi-agent reinforcement learning
Communication is supposed to improve multi-agent collaboration and overall performance
in cooperative Multi-agent reinforcement learning (MARL). However, such improvements are …
in cooperative Multi-agent reinforcement learning (MARL). However, such improvements are …