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05/29/2021
A Survey of Deep Reinforcement Learning Algorithms for Motion Planning and Control of Autonomous Vehicles
In this survey, we systematically summarize the current literature on st...
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03/23/2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks
Learning from demonstrations has made great progress over the past few y...
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08/28/2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles
Recent advances in supervised learning and reinforcement learning have p...
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02/07/2020
Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning
Lane-change maneuvers are commonly executed by drivers to follow a certa...
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02/04/2020
TPPO: A Novel Trajectory Predictor with Pseudo Oracle
Forecasting pedestrian trajectories in dynamic scenes remains a critical...
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11/29/2019
Quadratic Q-network for Learning Continuous Control for Autonomous Vehicles
Reinforcement Learning algorithms have recently been proposed to learn t...
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11/19/2019
Adversarial Inverse Reinforcement Learning for Decision Making in Autonomous Driving
Generative Adversarial Imitation Learning (GAIL) is an efficient way to ...
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06/06/2019
Intention-aware Long Horizon Trajectory Prediction of Surrounding Vehicles using Dual LSTM Networks
As autonomous vehicles (AVs) need to interact with other road users, it ...
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06/05/2019
Continuous Control for Automated Lane Change Behavior Based on Deep Deterministic Policy Gradient Algorithm
Lane change is a challenging task which requires delicate actions to ens...
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05/02/2019
Behavior Planning of Autonomous Cars with Social Perception
Autonomous cars have to navigate in dynamic environment which can be ful...
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04/23/2019
Driving Decision and Control for Autonomous Lane Change based on Deep Reinforcement Learning
We apply Deep Q-network (DQN) with the consideration of safety during th...
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01/31/2019
A Data Driven Method of Optimizing Feedforward Compensator for Autonomous Vehicle
A reliable controller is critical and essential for the execution of saf...
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04/21/2018
A Reinforcement Learning Based Approach for Automated Lane Change Maneuvers
Lane change is a crucial vehicle maneuver which needs coordination with ...
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03/25/2018
Autonomous Ramp Merge Maneuver Based on Reinforcement Learning with Continuous Action Space
Ramp merging is a critical maneuver for road safety and traffic efficien...
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03/25/2018
Maneuver Control based on Reinforcement Learning for Automated Vehicles in An Interactive Environment
Operating a robot safely and efficiently can be considerably challenging...
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09/07/2017
