MAPPO (multi-agent PPO)
MAPPO is an extension of Proximal Policy Optimization (PPO) designed for multi-agent environments, enhancing coordination among agents.
multi-agent systems
RoboCup
RoboCup is an international robotics competition with the goal of advancing artificial intelligence and robotics research through robot soccer matches and related challenges. It serves as a platform for innovation in autonomous robotics systems and multi-agent cooperation.
MADDPG (multi-agent DDPG)
MADDPG is an advanced reinforcement learning algorithm designed for multi-agent environments, enhancing collaboration and competition among agents.
Value decomposition networks (VDN)
Value Decomposition Networks (VDN) are a framework in multi-agent reinforcement learning that enables agents to collaborate effectively by decomposing value functions.
Centralized training with decentralized execution (CTDE)
Centralized training with decentralized execution (CTDE) is a framework used in multi-agent reinforcement learning where agents are trained together but operate independently.