activity
20182026
most citedMean Field Multi-Agent Reinforcement Learning

313 citations · 436 across the 14 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 4 cited

Multi-View Reinforcement Learning

Minne Li, Lisheng Wu, Haitham Bou Ammar +1

This paper is concerned with multi-view reinforcement learning (MVRL), which allows for decision making when agents share common dynamics but adhere to different observation models…

cs.MA2019★ 2 cited

Bi-level Actor-Critic for Multi-agent Coordination

Haifeng Zhang, Weizhe Chen, Zeren Huang +4

Coordination is one of the essential problems in multi-agent systems. Typically multi-agent reinforcement learning (MARL) methods treat agents equally and the goal is to solve the…

cs.MA2019★ 88 cited

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms

Jiarui Jin, Ming Zhou, Weinan Zhang +9

How to optimally dispatch orders to vehicles and how to tradeoff between immediate and future returns are fundamental questions for a typical ride-hailing platform. We model ride-h…

cs.LG2019

Joint Perception and Control as Inference with an Object-based Implementation

Minne Li, Zheng Tian, Pranav Nashikkar +3

Existing model-based reinforcement learning methods often study perception modeling and decision making separately. We introduce joint Perception and Control as Inference (PCI), a…

cs.MA2019★ 3 cited

Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning

Minne Li, Zhiwei, Qin +7

A fundamental question in any peer-to-peer ridesharing system is how to, both effectively and efficiently, dispatch user's ride requests to the right driver in real time. Tradition…