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Reinforcement learning to adjust parametrized motor primitives to new situations

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Kober, J. / Wilhelm, A. / Öztop, Erhan et al. | BASE | 2012

Keywords: Skill learning , Reinforcement learning , Policy learning

ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing

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Akbulut, Mete Tuluhan / Oztop, Erhan / Seker, Yunus et al. | BASE | 2020

Keywords: Learning From Demonstration , Deep Learning , Reinforcement Learning , Representation Learning

Self-learning Processes in Smart Factories:Deep Reinforcement Learning for Process Control of Robot Brine Injection

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Andersen, Rasmus Eckholdt / Madsen, Steffen / Barlo, Alexander Bendix Krukow et al. | BASE | 2019

Keywords: Deep Reinforcement Learning , Self-learning Smart Factories , Machine Learning , Reinforcement Learning

DROPO: Sim-to-real transfer with offline domain randomization

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Gabriele Tiboni / Karol Arndt / Ville Kyrki | BASE | 2023

Keywords: Robot learning , Transfer learning , Reinforcement learning

Game-based learning and Gamification to promote engagement and motivation in medical learning contexts

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PESARE, ENRICA / ROSELLI, Teresa / CORRIERO, NICOLA et al. | BASE | 2016

Keywords: Smart Learning Environment , Game-based learning

Towards a Robot Simulation Framework for E-waste Disassembly Using Reinforcement Learning

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Brohus Kristensen, Christoffer / Arentz Sørensen, Frederik / Bjørn Dalgaard Brandt Nielsen, Hjalte et al. | BASE | 2019

Keywords: Deep Reinforcement Learning , Reinforcement Learning , Machine Learning

Reinforcement Learning for Robotic Grasping and Manipulation: A Review

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Donepudi, Praveen Kumar | BASE | 2020

Keywords: Machine learning , Reinforcement learning

Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach

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Rubagotti, Matteo / Sangiovanni, Bianca / Nurbayeva, Aigerim et al. | BASE | 2023

Keywords: Deep learning , Reinforcement learning

Exploring Deep Recurrent Q-Learning for Navigation in a 3D Environment

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Brejl, Rasmus / Purwins, Hendrik / Schoenau-Fog, Henrik | BASE | 2018

Keywords: Reinforcement Learning , Deep Learning , Q-Learning , Deep Recurrent Q-Learning

Video demonstration of: Model-based versus Model-free Deep Reinforcement Learning for Autonomous Racing Cars

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Brunnbauer, Axel / Berducci, Luigi / Brandstätter, Andreas et al. | BASE | 2021

Keywords: Reinforcement Learning , Deep Learning Methods , Machine Learning for Robot Control

Relational reinforcement learning for planning with exogenous effects

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Martínez, David / Alenyà, Guillem / Ribeiro, Tony et al. | BASE | 2017

Keywords: Learning models for planning , Active learning , Robot learning

Implementasi Problem Based Learning (PBL) menggunakan Virtual Dan Real Lab Ditinjau dari Gaya Belajar Untuk Meningkatkan Hasil Belajar Siswa

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Sianturi, Jubelli / Panggabean, Freddy Tua Musa | BASE | 2019

Keywords: Problem Based Learning , Learning Outcomes , Learning Styles

Incremental learning of skills in a task-parameterized Gaussian mixture model

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Hoyos, Jose / Prieto, Flavio / Alenyà, Guillem et al. | BASE | 2016

Keywords: Robot learning , Incremental learning

Incremental learning of skills in a task-parameterized Gaussian Mixture Model

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Hoyos, Jose / Prieto, Flavio / Alenyà Ribas, Guillem et al. | BASE | 2016

Keywords: Robot learning , Incremental learning , learning (artificial intelligence) , Classificació INSPEC::Cybernetics::Artificial intelligence::Learning (artificial intelligence)

Quantifying Teaching Behavior in Robot Learning from Demonstration

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Sena, Aran / Howard, Matthew | BASE | 2020

Keywords: learning from demonstration , machine learning , imitation learning , learning from examples

Conditional Neural Movement Primitives

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M. Yunus Seker / Mert Imre / Justus Piater et al. | BASE | 2019

Keywords: Learning from demonstration , Deep learning

Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey

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Cai, Jizhou | BASE | 2023

Keywords: Deep Learning , Reinforcement Learning

Efficient learning of robust quadruped bounding using pretrained neural networks

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Wang, Z / Li, A / Zheng, Y et al. | BASE | 2022

Keywords: reinforcement learning , robot learning

Indirect Methods for Robot Skill Learning

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ESTEBAN CABALA, DOMINGO FRANCISCO | BASE | 2019

Keywords: robot learning , reinforcement learning , imitation learning , deep reinforcement learning , hierarchical reinforcement learning , transfer learning , multi-task learning

Comparative Evaluation for Effectiveness Analysis of Policy Based Deep Reinforcement Learning Approaches

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Tan, Ziya / Karaköse, Mehmet | BASE

Keywords: Deep Reinforcement Learning , Deep Learning

Kinestetinis mokymasis nuotoliniu būdu, panaudojant virtualiąją realybę ; Kinesthetic distance learning using virtual reality

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Paulauskas, Lukas | BASE | 2021

Keywords: distance learning , kinesthetic learning