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Risk-Aware Lane Selection on Highway with Dynamic Obstacles
This paper proposes a discretionary lane selection algorithm. In particu...
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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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Interaction-Aware Multi-Agent Reinforcement Learning for Mobile Agents with Individual Goals
In a multi-agent setting, the optimal policy of a single agent is largel...
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Interactive Decision Making for Autonomous Vehicles in Dense Traffic
Dense urban traffic environments can produce situations where accurate p...
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Safe Reinforcement Learning on Autonomous Vehicles
There have been numerous advances in reinforcement learning, but the typ...
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Uncertainty-Aware Data Aggregation for Deep Imitation Learning
Estimating statistical uncertainties allows autonomous agents to communi...
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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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Selective Experience Replay for Lifelong Learning
Deep reinforcement learning has emerged as a powerful tool for a variety...
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Transferring Autonomous Driving Knowledge on Simulated and Real Intersections
We view intersection handling on autonomous vehicles as a reinforcement ...
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Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer
Knowledge transfer between tasks can improve the performance of learned ...
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Analyzing Knowledge Transfer in Deep Q-Networks for Autonomously Handling Multiple Intersections
We analyze how the knowledge to autonomously handle one type of intersec...
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Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning
Providing an efficient strategy to navigate safely through unsignaled in...
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