Subtle temporal delays of mothers' responses affect imitation learning in children: Mother-child interaction study.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of experimental child psychology"
DOI: 10.1016/j.jecp.2018.10.010
Abstract: The relationship between temporal contiguity of mothers' teaching behaviors and children's imitation learning was investigated. Participants (2-year-old children) observed their mothers' demonstration of using novel toys over a double television system under live and delayed… read more here.
Keywords: condition; subtle temporal; imitation; mothers responses ... See more keywords
Template-based imitation learning for manipulating symmetric objects
Sign Up to like & getrecommendations! Published in 2021 at "Mechatronics"
DOI: 10.1016/j.mechatronics.2021.102609
Abstract: Abstract With the rise of small batch production, the need to shorten the development cycle has become urgent. This work aims to allow people without expert knowledge to program the robot in a single demonstration… read more here.
Keywords: manipulating symmetric; based imitation; imitation learning; learning manipulating ... See more keywords
Teacher-learner interaction quantifies scaffolding behaviour in imitation learning
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-44049-x
Abstract: Teachers often believe that they take into account learners’ ongoing learning progress in their teaching. Can behavioural data support this belief? To address this question, we investigated the interactive behavioural coordination between teachers and learners… read more here.
Keywords: interaction quantifies; learner interaction; information; teacher learner ... See more keywords
Safe and efficient imitation learning by clarification of experienced latent space
Sign Up to like & getrecommendations! Published in 2021 at "Advanced Robotics"
DOI: 10.1080/01691864.2021.1959397
Abstract: Behavioral cloning from observation (BCO) allows the robot to learn the policy without the expert's action information. However, it requires a few interactions with the environment to infer expert's action with risk of robot failures.… read more here.
Keywords: efficient imitation; bco; clarification experienced; imitation learning ... See more keywords
Active Inference Integrated with Imitation Learning for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3172712
Abstract: Classical imitation learning methods suffer substantially from the learning hierarchical policies when the imitative agent faces an unobserved state by the expert agent. To address these drawbacks, we propose an online active learning through active… read more here.
Keywords: active inference; agent; action; imitation learning ... See more keywords
Imitation Learning for Nonprehensile Manipulation Through Self-Supervised Learning Considering Motion Speed
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3185651
Abstract: Robots are expected to replace menial tasks such as housework. Some of these tasks include nonprehensile manipulation performed without grasping objects. Nonprehensile manipulation is very difficult because it requires considering the dynamics of environments and… read more here.
Keywords: speed; supervised learning; self supervised; manipulation ... See more keywords
Learning and Assessing Optimal Dynamic Treatment Regimes Through Cooperative Imitation Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193494
Abstract: Dynamic Treatment Regimes (DTRs) are sets of sequential decision rules that can be adapted over time to treat patients with a specific pathology. DTR consists of alternative treatment paths and any of these treatments can… read more here.
Keywords: treatment regimes; dynamic treatment; imitation learning; treatment ... See more keywords
Imitation Learning With Time-Varying Synergy for Compact Representation of Spatiotemporal Structures
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3264213
Abstract: Imitation learning is a promising approach for robots to learn complex motor skills. Recent techniques allow robots to learn long-term movements comprising multiple sub-behaviors. However, learning the temporal structures of movements from a demonstration is… read more here.
Keywords: time; sub behaviors; imitation learning; time varying ... See more keywords
Cloud Resource Scheduling With Deep Reinforcement Learning and Imitation Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2020.3025015
Abstract: The cloud resource management belongs to the category of combinatorial optimization problems, most of which have been proven to be NP-hard. In recent years, reinforcement learning (RL), as a special paradigm of machine learning, has… read more here.
Keywords: reinforcement learning; resource; deeprm; imitation learning ... See more keywords
MILP-Based Imitation Learning for HVAC Control
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3111454
Abstract: To optimize the operation of a heating, ventilation, and air-conditioning (HVAC) system with advanced techniques such as artificial neural network (ANN), previous studies usually need forecast information in their method. However, the forecast information inevitably… read more here.
Keywords: control; based imitation; imitation learning; milp based ... See more keywords
HiLITE: Hierarchical and Lightweight Imitation Learning for Power Management of Embedded SoCs
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Computer Architecture Letters"
DOI: 10.1109/lca.2020.2992182
Abstract: Modern systems-on-chip (SoCs) use dynamic power management (DPM) techniques to improve energy efficiency. However, existing techniques are unable to efficiently adapt the runtime decisions considering multiple objectives (e.g., energy and real-time requirements) simultaneously on heterogeneous… read more here.
Keywords: embedded socs; hilite hierarchical; imitation learning; imitation ... See more keywords