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03/01/2023
SLAS: Speed and Lane Advisory System for Highway Navigation
This paper proposes a hierarchical autonomous vehicle navigation archite...
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02/01/2023
Active Uncertainty Reduction for Safe and Efficient Interaction Planning: A Shielding-Aware Dual Control Approach
The ability to accurately predict the opponent's behavior is central to ...
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01/26/2023
Predicting Parameters for Modeling Traffic Participants
Accurately modeling the behavior of traffic participants is essential fo...
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01/22/2023
Game Theoretic Decision Making by Actively Learning Human Intentions Applied on Autonomous Driving
The ability to estimate human intentions and interact with human drivers...
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01/13/2023
Interaction-Aware Trajectory Planning for Autonomous Vehicles with Analytic Integration of Neural Networks into Model Predictive Control
Autonomous vehicles (AVs) must share the driving space with other driver...
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03/06/2022
Recursive Reasoning Graph for Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) provides an efficient way for ...
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01/17/2022
Spatiotemporal Costmap Inference for MPC via Deep Inverse Reinforcement Learning
It can be difficult to autonomously produce driver behavior so that it a...
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09/26/2021
Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots
A human-centered robot needs to reason about the cognitive limitation an...
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04/08/2021
Risk-Aware Lane Selection on Highway with Dynamic Obstacles
This paper proposes a discretionary lane selection algorithm. In particu...
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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
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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09/27/2019
Interactive Decision Making for Autonomous Vehicles in Dense Traffic
Dense urban traffic environments can produce situations where accurate p...
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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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05/07/2019
Uncertainty-Aware Data Aggregation for Deep Imitation Learning
Estimating statistical uncertainties allows autonomous agents to communi...
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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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02/28/2018
Selective Experience Replay for Lifelong Learning
Deep reinforcement learning has emerged as a powerful tool for a variety...
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11/30/2017
Transferring Autonomous Driving Knowledge on Simulated and Real Intersections
We view intersection handling on autonomous vehicles as a reinforcement ...
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10/10/2017
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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05/02/2017
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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05/02/2017
