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03/29/2023
Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles
Cancer detection and classification from gigapixel whole slide images of...
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09/19/2022
Latent Plans for Task-Agnostic Offline Reinforcement Learning
Everyday tasks of long-horizon and comprising a sequence of multiple imp...
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03/01/2022
Affordance Learning from Play for Sample-Efficient Policy Learning
Robots operating in human-centered environments should have the ability ...
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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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08/14/2020
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
Clinical data from electronic medical records, registries or trials prov...
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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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10/21/2019
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video
Key challenges for the deployment of reinforcement learning (RL) agents ...
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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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09/30/2019
Off-policy Multi-step Q-learning
In the past few years, off-policy reinforcement learning methods have sh...
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07/25/2019
