39 citations · 39 across the 1 of their papers we have counts for
3 papers
cs.AI2024
OffLight: An Offline Multi-Agent Reinforcement Learning Framework for Traffic Signal Control
Rohit Bokade, Xiaoning Jin
Efficient traffic control (TSC) is essential for urban mobility, but traditional systems struggle to handle the complexity of real-world traffic. Multi-agent Reinforcement Learning…
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…