A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …
A survey on deep learning: Algorithms, techniques, and applications
The field of machine learning is witnessing its golden era as deep learning slowly becomes
the leader in this domain. Deep learning uses multiple layers to represent the abstractions of …
the leader in this domain. Deep learning uses multiple layers to represent the abstractions of …
Recurrent world models facilitate policy evolution
D Ha, J Schmidhuber - Advances in neural information …, 2018 - proceedings.neurips.cc
A generative recurrent neural network is quickly trained in an unsupervised manner to
model popular reinforcement learning environments through compressed spatio-temporal …
model popular reinforcement learning environments through compressed spatio-temporal …
Deep reinforcement learning: A brief survey
K Arulkumaran, MP Deisenroth… - IEEE Signal …, 2017 - ieeexplore.ieee.org
Deep reinforcement learning (DRL) is poised to revolutionize the field of artificial intelligence
(AI) and represents a step toward building autonomous systems with a higher-level …
(AI) and represents a step toward building autonomous systems with a higher-level …
A brief survey of deep reinforcement learning
Deep reinforcement learning is poised to revolutionise the field of AI and represents a step
towards building autonomous systems with a higher level understanding of the visual world …
towards building autonomous systems with a higher level understanding of the visual world …
Imitation learning: A survey of learning methods
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a mapping …
learning machine) is trained to perform a task from demonstrations by learning a mapping …
Deep reinforcement learning for robotic manipulation with asynchronous off-policy updates
Reinforcement learning holds the promise of enabling autonomous robots to learn large
repertoires of behavioral skills with minimal human intervention. However, robotic …
repertoires of behavioral skills with minimal human intervention. However, robotic …
Internet of vehicles in big data era
As the rapid development of automotive telematics, modern vehicles are expected to be
connected through heterogeneous radio access technologies and are able to exchange …
connected through heterogeneous radio access technologies and are able to exchange …
Research advances and challenges of autonomous and connected ground vehicles
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …
solution for the public, but the complex and various environments in the real world make it …
Learning to navigate in complex environments
Learning to navigate in complex environments with dynamic elements is an important
milestone in developing AI agents. In this work we formulate the navigation question as a …
milestone in developing AI agents. In this work we formulate the navigation question as a …