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03/21/2022
Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning
Implementing an autonomous vehicle that is able to output feasible, smoo...
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12/06/2020
Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways
Well-established optimization-based methods can guarantee an optimal tra...
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10/21/2020
Deep Surrogate Q-Learning for Autonomous Driving
Challenging problems of deep reinforcement learning systems with regard ...
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08/04/2020
Deep Inverse Q-learning with Constraints
Popular Maximum Entropy Inverse Reinforcement Learning approaches requir...
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03/20/2020
Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving
In many real world applications, reinforcement learning agents have to o...
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09/30/2019
Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving
The common pipeline in autonomous driving systems is highly modular and ...
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07/25/2019
