Multi-Level Action Tree Rollout (MLAT-R): Efficient and Accurate Online Multiagent Policy Improvement
Andrea Henshall,Sertac Karaman,Andrea Henshall,Sertac Karaman
Rollout algorithms are renowned for their abilities to correct for the suboptimalities of offline-trained base policies. In the multiagent setting, performing online rollout can require an exponentially large number of optimizations with respect to the number of agents. One-agent-at-a-time algorithms offer computationally efficient approaches to guaranteed policy improvement; however, this improve...
