Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Q Li, Z Peng, L Feng, Q Zhang… - … on Pattern Analysis …, 2023 - research-collection.ethz.ch
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
MetaDrive: composing diverse driving scenarios for generalizable reinforcement learning
Q Li, Z Peng, L Feng, Q Zhang, Z Xue… - IEEE transactions on …, 2022 - safetylit.org
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Q Li, Z Peng, L Feng, Q Zhang, Z Xue… - IEEE Transactions on …, 2023 - computer.org
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.
Q Li, Z Peng, L Feng, Q Zhang, Z Xue… - IEEE Transactions on …, 2023 - europepmc.org
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
[PDF][PDF] MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Q Li, Z Peng, Z Xue, Q Zhang, B Zhou - arXiv preprint arXiv …, 2021 - academia.edu
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the decision making in complex multi-agent …
generalizability to unseen environments, the decision making in complex multi-agent …
[PDF][PDF] MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Q Li, Z Peng, L Feng, Q Zhang, Z Xue, B Zhou - researchgate.net
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Q Li, Z Peng, L Feng, Q Zhang, Z Xue… - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Q Li, Z Peng, L Feng, Q Zhang… - IEEE transactions on …, 2023 - pubmed.ncbi.nlm.nih.gov
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Q Li, Z Peng, L Feng, Q Zhang, Z Xue… - arXiv preprint arXiv …, 2021 - arxiv.org
Driving safely requires multiple capabilities from human and intelligent agents, such as the
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …
generalizability to unseen environments, the safety awareness of the surrounding traffic, and …