A survey of progress on cooperative multi-agent reinforcement learning in open environment
Multi-agent Reinforcement Learning (MARL) has gained wide attention in recent years and
has made progress in various fields. Specifically, cooperative MARL focuses on training a …
has made progress in various fields. Specifically, cooperative MARL focuses on training a …
Open and real-world human-AI coordination by heterogeneous training with communication
Human-AI coordination aims to develop AI agents capable of effectively coordinating with
human partners, making it a crucial aspect of cooperative multi-agent reinforcement learning …
human partners, making it a crucial aspect of cooperative multi-agent reinforcement learning …
Efficient Reinforcement Learning via Decoupling Exploration and Utilization
J Yang, H Wang, Q Zhao, Z Shi, Z Song… - … Conference on Intelligent …, 2024 - Springer
Reinforcement Learning (RL), recognized as an efficient learning approach, has achieved
remarkable success across multiple fields and applications, including gaming, robotics, and …
remarkable success across multiple fields and applications, including gaming, robotics, and …