149 citations · 268 across the 4 of their papers we have counts for
Showing cs.MAShow all
3 papers · 1 filter
cs.MA2020★ 103 cited
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving
Ming Zhou, Jun Luo, Julian Villella +34
Multi-agent interaction is a fundamental aspect of autonomous driving in the real world. Despite more than a decade of research and development, the problem of how to competently i…
cs.MA2020
Qatten: A General Framework for Cooperative Multiagent Reinforcement Learning
Yaodong Yang, Jianye Hao, Ben Liao +4
In many real-world tasks, multiple agents must learn to coordinate with each other given their private observations and limited communication ability. Deep multiagent reinforcement…
cs.MA2019★ 149 cited
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao, Zhentao Tang, Yuanheng Zhu +2
Deep reinforcement learning (DRL) has made great achievements since proposed. Generally, DRL agents receive high-dimensional inputs at each step, and make actions according to deep…