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05/25/2020
Reinforcement Learning with Iterative Reasoning for Merging in Dense Traffic
Maneuvering in dense traffic is a challenging task for autonomous vehicl...
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09/27/2019
Safe Reinforcement Learning on Autonomous Vehicles
There have been numerous advances in reinforcement learning, but the typ...
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09/15/2019
Driving in Dense Traffic with Model-Free Reinforcement Learning
Traditional planning and control methods could fail to find a feasible t...
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09/09/2019
Cooperation-Aware Lane Change Control in Dense Traffic
This paper presents a real-time lane change control framework of autonom...
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06/26/2019
Cooperation-Aware Reinforcement Learning for Merging in Dense Traffic
Decision making in dense traffic can be challenging for autonomous vehic...
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04/25/2019
Safe Reinforcement Learning with Scene Decomposition for Navigating Complex Urban Environments
Navigating urban environments represents a complex task for automated ve...
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04/15/2019
Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving
Designing reliable decision strategies for autonomous urban driving is c...
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04/12/2019
Interaction-aware Decision Making with Adaptive Strategies under Merging Scenarios
In order to drive safely and efficiently under merging scenarios, autono...
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09/13/2018
CM3: Cooperative Multi-goal Multi-stage Multi-agent Reinforcement Learning
We propose CM3, a new deep reinforcement learning method for cooperative...
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08/07/2018
Collaborative Planning for Mixed-Autonomy Lane Merging
Driving is a social activity: drivers often indicate their intent to cha...
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06/01/2018
Modeling Preemptive Behaviors for Uncommon Hazardous Situations From Demonstrations
This paper presents a learning from demonstration approach to programmin...
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02/06/2018