Jul 2026
Comparative Study of Multi-Agent Actor-Critic Algorithms in Parameterized Action Reinforcement Learning
A comparative study of shared-experience multi-agent extensions of multi-agent actor-critic methods for parameterized action reinforcement learning, offering insight into the scalability of shared-experience multi-agent actor-critic methods for parameterized action reinforcement learning.
U. Bapoo, Clement N. Nyirenda
· arXiv.org · 0 citations