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23 Einträge gefunden

NICOL:A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation
2023 - Forschungsinformationssystem der UHH - frei zugänglich
Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks
2022 - Forschungsinformationssystem der UHH - frei zugänglich
Intelligent problem-solving as integrated hierarchical reinforcement learning
2022 - TUHH Open Research
Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics
2022 - Forschungsinformationssystem der UHH
Grounding hindsight instructions in multi-goal reinforcement learning for robotics
2022 - TUHH Open Research
The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review
2021 - Forschungsinformationssystem der UHH - frei zugänglich
The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review
2021 - TUHH Open Research
Sensorimotor Representation Learning for an “Active Self” in Robots: A Model Survey
2021 - TUHH Open Research
Developmental Robotics and its Role Towards Artificial General Intelligence
2021 - TUHH Open Research
Curious Hierarchical Actor-Critic Reinforcement Learning
2020 - TUHH Open Research
Curious Hierarchical Actor-Critic Reinforcement Learning
2020 - Forschungsinformationssystem der UHH
Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid
2019 - TUHH Open Research
The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes
2019 - TUHH Open Research
From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving
2019 - TUHH Open Research
Curriculum goal masking for continuous deep reinforcement learning
2019 - TUHH Open Research
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification
2019 - TUHH Open Research
Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification
2019 - Forschungsinformationssystem der UHH - frei zugänglich
From Semantics to Execution:Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving
2019 - Forschungsinformationssystem der UHH - frei zugänglich
Towards end-to-end raw audio music synthesis
2018 - TUHH Open Research
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
2018 - TUHH Open Research

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NICOL:A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation

Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks

Intelligent problem-solving as integrated hierarchical reinforcement learning

Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics

Grounding hindsight instructions in multi-goal reinforcement learning for robotics

The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review

The Embodied Crossmodal Self Forms Language and Interaction: A Computational Cognitive Review

Sensorimotor Representation Learning for an “Active Self” in Robots: A Model Survey

Developmental Robotics and its Role Towards Artificial General Intelligence

Curious Hierarchical Actor-Critic Reinforcement Learning

Curious Hierarchical Actor-Critic Reinforcement Learning

Neurocognitive Shared Visuomotor Network for End-to-end Learning of Object Identification, Localization and Grasping on a Humanoid

The Conditional Boundary Equilibrium Generative Adversarial Network and its Application to Facial Attributes

From Semantics to Execution: Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

Curriculum goal masking for continuous deep reinforcement learning

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

Expectation Learning for Stimulus Prediction Across Modalities Improves Unisensory Classification

From Semantics to Execution:Integrating Action Planning With Reinforcement Learning for Robotic Causal Problem-Solving

Towards end-to-end raw audio music synthesis

Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot