most citedMulti-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control

39 citations · 39 across the 1 of their papers we have counts for

collaborators
Showing cs.MAShow all

2 papers · 1 filter

cs.MA2024

PyTSC: A Unified Platform for Multi-Agent Reinforcement Learning in Traffic Signal Control

Rohit Bokade, Xiaoning Jin

Multi-Agent Reinforcement Learning (MARL) presents a promising approach for addressing the complexity of Traffic Signal Control (TSC) in urban environments. However, existing platf…

cs.MA2023★ 39 cited

Multi-Agent Reinforcement Learning Based on Representational Communication for Large-Scale Traffic Signal Control

Rohit Bokade, Xiaoning Jin, Christopher Amato

Traffic signal control (TSC) is a challenging problem within intelligent transportation systems and has been tackled using multi-agent reinforcement learning (MARL). While centrali…