output
20142026
most citedLayerwise learning for quantum neural networks

341 citations

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5 papers · 1 filter

cs.RO2023★ 20 cited

On the Role of the Action Space in Robot Manipulation Learning and Sim-to-Real Transfer

Elie Aljalbout, Felix Frank, Maximilian Karl +1

We study the choice of action space in robot manipulation learning and sim-to-real transfer. We define metrics that assess the performance, and examine the emerging properties in t…

cs.RO2021★ 58 cited

Constrained Probabilistic Movement Primitives for Robot Trajectory Adaptation

Felix Frank, Alexandros Paraschos, Patrick van der Smagt +1

Placing robots outside controlled conditions requires versatile movement representations that allow robots to learn new tasks and adapt them to environmental changes. The introduct…

cs.RO2020★ 13 cited

Planning on the fast lane: Learning to interact using attention mechanisms in path integral inverse reinforcement learning

Sascha Rosbach, Xing Li, Simon Großjohann +2

General-purpose trajectory planning algorithms for automated driving utilize complex reward functions to perform a combined optimization of strategic, behavioral, and kinematic fea…

cs.RO2019★ 10 cited

Driving Style Encoder: Situational Reward Adaptation for General-Purpose Planning in Automated Driving

Sascha Rosbach, Vinit James, Simon Großjohann +3

General-purpose planning algorithms for automated driving combine mission, behavior, and local motion planning. Such planning algorithms map features of the environment and driving…

cs.RO2019★ 51 cited

Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving

Sascha Rosbach, Vinit James, Simon Großjohann +2

Behavior and motion planning play an important role in automated driving. Traditionally, behavior planners instruct local motion planners with predefined behaviors. Due to the high…