Sample and communication-efficient decentralized actor-critic algorithms with finite-time analysis
Actor-critic (AC) algorithms have been widely used in decentralized multi-agent systems to
learn the optimal joint control policy. However, existing decentralized AC algorithms either …
learn the optimal joint control policy. However, existing decentralized AC algorithms either …
Convergence Analysis of Minimax Optimization and Multiagent Reinforcement Learning
Z Chen - 2023 - search.proquest.com
This dissertation investigates two popular machine learning frameworks, namely, minimax
optimization and multiagent reinforcement learning (MARL). There are a large number of …
optimization and multiagent reinforcement learning (MARL). There are a large number of …