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07/18/2023
Context-Conditional Navigation with a Learning-Based Terrain- and Robot-Aware Dynamics Model
In autonomous navigation settings, several quantities can be subject to ...
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05/08/2023
The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
In policy learning for robotic manipulation, sample efficiency is of par...
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04/03/2023
Imitation Learning from Nonlinear MPC via the Exact Q-Loss and its Gauss-Newton Approximation
This work presents a novel loss function for learning nonlinear Model Pr...
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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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12/03/2022
A Hierarchical Approach for Strategic Motion Planning in Autonomous Racing
We present an approach for safe trajectory planning, where a strategic t...
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09/28/2022
Process-guidance improves predictive performance of neural networks for carbon turnover in ecosystems
Despite deep-learning being state-of-the-art for data-driven model predi...
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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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03/21/2022
Optimizing Trajectories for Highway Driving with Offline Reinforcement Learning
Implementing an autonomous vehicle that is able to output feasible, smoo...
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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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11/24/2021
Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Accurate value estimates are important for off-policy reinforcement lear...
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10/07/2021
Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation
Learning to solve complex manipulation tasks from visual observations is...
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06/08/2021
Residual Feedback Learning for Contact-Rich Manipulation Tasks with Uncertainty
While classic control theory offers state of the art solutions in many p...
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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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02/11/2020
Machine-Learning-Based Diagnostics of EEG Pathology
Machine learning (ML) methods have the potential to automate clinical EE...
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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
Dynamic Input for Deep Reinforcement Learning in Autonomous Driving
In many real-world decision making problems, reaching an optimal decisio...
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03/18/2019
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration
Exploration in sparse reward reinforcement learning remains a difficult ...
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06/12/2018
Early Seizure Detection with an Energy-Efficient Convolutional Neural Network on an Implantable Microcontroller
Implantable, closed-loop devices for automated early detection and stimu...
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02/01/2018
VR Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
This paper deals with the reality gap from a novel perspective, targetin...
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07/20/2017
Acting Thoughts: Towards a Mobile Robotic Service Assistant for Users with Limited Communication Skills
As autonomous service robots become more affordable and thus available a...
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06/29/2017
Neural SLAM: Learning to Explore with External Memory
We present an approach for agents to learn representations of a global m...
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12/16/2016
Deep Reinforcement Learning with Successor Features for Navigation across Similar Environments
In this paper we consider the problem of robot navigation in simple maze...
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06/24/2015
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
We introduce Embed to Control (E2C), a method for model learning and con...
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09/06/2013