Accelerated inverse reinforcement learning with randomly pre-sampled policies for autonomous driving reward design

L Xin, SE Li, P Wang, W Cao, B Nie… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
To learn a reward function that a driver adheres to is of importance to the human-like design
of autonomous driving systems. Inverse reinforcement learning (IRL) is one of the recent …

[PDF][PDF] Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design

L Xin, SE Li, P Wang, W Cao, B Nie, CY Chan… - idlabweb.oss-cn-beijing.aliyuncs …
To learn a reward function that a driver adheres to is of importance to the human-like design
of autonomous driving systems. Inverse reinforcement learning (IRL) is one of the recent …

Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design

L Xin, SE Li, P Wang, W Cao, B Nie, CY Chan… - 2019 IEEE Intelligent …, 2019 - dl.acm.org
To learn a reward function that a driver adheres to is of importance to the human-like design
of autonomous driving systems. Inverse reinforcement learning (IRL) is one of the recent …

[PDF][PDF] Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design

L Xin, SE Li, P Wang, W Cao, B Nie, CY Chan… - researchgate.net
To learn a reward function that a driver adheres to is of importance to the human-like design
of autonomous driving systems. Inverse reinforcement learning (IRL) is one of the recent …

[引用][C] Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for Autonomous Driving Reward Design

L Xin, SE Li, P Wang, W Cao, B Nie, CY Chan… - 2019 IEEE Intelligent …, 2019 - cir.nii.ac.jp
Accelerated Inverse Reinforcement Learning with Randomly Pre-sampled Policies for
Autonomous Driving Reward Design | CiNii Research CiNii 国立情報学研究所 学術情報 …