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07/09/2021
ARC: Adversarially Robust Control Policies for Autonomous Vehicles
Deep neural networks have demonstrated their capability to learn control...
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07/09/2021
Adversarial Mixture Density Networks: Learning to Drive Safely from Collision Data
Imitation learning has been widely used to learn control policies for au...
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03/27/2021
Self-adaptive Torque Vectoring Controller Using Reinforcement Learning
Continuous direct yaw moment control systems such as torque-vectoring co...
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03/17/2021
Weakly Supervised Reinforcement Learning for Autonomous Highway Driving via Virtual Safety Cages
The use of neural networks and reinforcement learning has become increas...
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02/27/2020
Training Adversarial Agents to Exploit Weaknesses in Deep Control Policies
Deep learning has become an increasingly common technique for various co...
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12/23/2019