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1911.04175
Cited By
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning
11 November 2019
Praveen Palanisamy
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Papers citing
"Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning"
50 / 66 papers shown
Title
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20 Aug 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey
Ruiqi Zhang
Jing Hou
Florian Walter
Shangding Gu
Jiayi Guan
Florian Röhrbein
Yali Du
Panpan Cai
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Alois Knoll
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TorchDriveEnv: A Reinforcement Learning Benchmark for Autonomous Driving with Reactive, Realistic, and Diverse Non-Playable Characters
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Ke Zhang
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Matthew Niedoba
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Berend Zwartsenberg
Frank Wood
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Sai Santosh Dayapule
Juan Gómez Luna
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Onur Mutlu
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99
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Ahmed Abouelazm
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AgentsCoDriver: Large Language Model Empowered Collaborative Driving with Lifelong Learning
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Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving
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117
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Collision Avoidance Verification of Multiagent Systems with Learned Policies
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Shayegan Omidshafiei
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70
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Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning
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86
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0
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GCBF+: A Neural Graph Control Barrier Function Framework for Distributed Safe Multi-Agent Control
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Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
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Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving
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Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research
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Benjamin Sapp
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A Two-stage Based Social Preference Recognition in Multi-Agent Autonomous Driving System
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69
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67
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Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments
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A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem
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Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
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92
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Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles
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Fei Wang
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88
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23 Mar 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence
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Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning
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Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation
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Concept-modulated model-based offline reinforcement learning for rapid generalization
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Transferring Multi-Agent Reinforcement Learning Policies for Autonomous Driving using Sim-to-Real
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