Human-guided reinforcement learning with sim-to-real transfer for autonomous navigation

J Wu, Y Zhou, H Yang, Z Huang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Reinforcement learning (RL) is a promising approach in unmanned ground vehicles (UGVs)
applications, but limited computing resource makes it challenging to deploy a well-behaved …
被引用次数：14 相关文章

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation.

J Wu, Y Zhou, H Yang, Z Huang, C Lv - IEEE Transactions on …, 2023 - europepmc.org
Reinforcement learning (RL) is a promising approach in unmanned ground vehicles (UGVs)
applications, but limited computing resource makes it challenging to deploy a well-behaved …

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation

J Wu, Y Zhou, H Yang, Z Huang… - IEEE transactions on …, 2023 - pubmed.ncbi.nlm.nih.gov
Reinforcement learning (RL) is a promising approach in unmanned ground vehicles (UGVs)
applications, but limited computing resource makes it challenging to deploy a well-behaved …

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation

J Wu, Y Zhou, H Yang, Z Huang, C Lv - IEEE Transactions on Pattern …, 2023 - computer.org
Reinforcement learning (RL) is a promising approach in unmanned ground vehicles (UGVs)
applications, but limited computing resource makes it challenging to deploy a well-behaved …

Human-Guided Reinforcement Learning With Sim-to-Real Transfer for Autonomous Navigation

J Wu, Y Zhou, H Yang, Z Huang, C Lv - IEEE Transactions on Pattern …, 2023 - computer.org
Reinforcement learning (RL) is a promising approach in unmanned ground vehicles (UGVs)
applications, but limited computing resource makes it challenging to deploy a well-behaved …