Large-scale driving datasets such as Waymo Open Dataset and nuScenes
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The Teacher-Student Framework (TSF) is a reinforcement learning setting ...
Diverse and realistic traffic scenarios are crucial for evaluating the A...
Human-AI shared control allows human to interact and collaborate with AI...
Deep visuomotor policy learning achieves promising results in control ta...
End-to-end scene text spotting has attracted great attention in recent y...
Human intervention is an effective way to inject human knowledge into th...
Self-Driven Particles (SDP) describe a category of multi-agent systems c...
When learning common skills like driving, beginners usually have domain
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Driving safely requires multiple capabilities from human and intelligent...
Safe exploration is crucial for the real-world application of reinforcem...
Recently there is a growing interest in the end-to-end training of auton...
Conventional Reinforcement Learning (RL) algorithms usually have one sin...
In this work, we address the problem of learning to seek novel policies ...
Neural network based approximate computing is a universal architecture
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The training phases of Deep neural network (DNN) consume enormous proces...