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20182022
most citedGALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis

8 citations · 8 across the 3 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

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…