8 citations · 8 across the 2 of their papers we have counts for
3 papers
cs.RO2022
The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning
Enyu Zhao, Chanjuan Liu, Houfu Su +1
Intelligence agents and multi-agent systems play important roles in scenes like the control system of grouped drones, and multi-agent navigation and obstacle avoidance which is the…
cs.AI2022★ 8 cited
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
Yushi Cao, Zhiming Li, Tianpei Yang +5
Despite achieving superior performance in human-level control problems, unlike humans, deep reinforcement learning (DRL) lacks high-order intelligence (e.g., logic deduction and re…
cs.AI2018
Macro action selection with deep reinforcement learning in StarCraft
Sijia Xu, Hongyu Kuang, Zhi Zhuang +3
StarCraft (SC) is one of the most popular and successful Real Time Strategy (RTS) games. In recent years, SC is also widely accepted as a challenging testbed for AI research becaus…