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03/08/2023
Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles
We propose a model predictive control approach for autonomous vehicles t...
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11/26/2022
How Crucial is Transformer in Decision Transformer?
Decision Transformer (DT) is a recently proposed architecture for Reinfo...
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10/05/2022
Placing by Touching: An empirical study on the importance of tactile sensing for precise object placing
Tactile sensors are promising tools for endowing robots with embodied in...
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09/08/2022
SE(3)-DiffusionFields: Learning smooth cost functions for joint grasp and motion optimization through diffusion
Multi-objective optimization problems are ubiquitous in robotics, e.g., ...
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03/02/2022
Integrating Contrastive Learning with Dynamic Models for Reinforcement Learning from Images
Recent methods for reinforcement learning from images use auxiliary task...
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05/17/2021
Stochastic Control through Approximate Bayesian Input Inference
Optimal control under uncertainty is a prevailing challenge in control, ...
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06/09/2020
Orientation Attentive Robot Grasp Synthesis
Physical neighborhoods of grasping points in common objects may offer a ...
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04/24/2020
Self-Paced Deep Reinforcement Learning
Generalization and reuse of agent behaviour across a variety of learning...
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03/20/2020
Deep Reinforcement Learning with Weighted Q-Learning
Overestimation of the maximum action-value is a well-known problem that ...
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07/10/2019
Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning
Deep learning has achieved astonishing results on many tasks with large ...
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05/12/2011
