most citedCritic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.MA2022

Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games

Ziyi Liu, Xian Guo, Yongchun Fang

While various multi-agent reinforcement learning methods have been proposed in cooperative settings, few works investigate how self-interested learning agents achieve mutual coordi…

cs.LG2020★ 1 cited

Critic PI2: Master Continuous Planning via Policy Improvement with Path Integrals and Deep Actor-Critic Reinforcement Learning

Jiajun Fan, He Ba, Xian Guo +1

Constructing agents with planning capabilities has long been one of the main challenges in the pursuit of artificial intelligence. Tree-based planning methods from AlphaGo to Muzer…