Results 21 to 30 of about 5,721,941 (348)
Data Quality in Imitation Learning [PDF]
Neural Information Processing Systems, 2023 In supervised learning, the question of data quality and curation has been over-shadowed in recent years by increasingly more powerful and expressive models that can ingest internet-scale data.
Suneel Belkhale +2 more
semanticscholar +1 more source
Model-Based Imitation Learning for Urban Driving [PDF]
Neural Information Processing Systems, 2022 An accurate model of the environment and the dynamic agents acting in it offers great potential for improving motion planning. We present MILE: a Model-based Imitation LEarning approach to jointly learn a model of the world and a policy for autonomous ...
Anthony Hu +8 more
semanticscholar +1 more source
VIOLA: Imitation Learning for Vision-Based Manipulation with Object Proposal Priors [PDF]
arXiv.org, 2022 We introduce VIOLA, an object-centric imitation learning approach to learning closed-loop visuomotor policies for robot manipulation. Our approach constructs object-centric representations based on general object proposals from a pre-trained vision model.
Yifeng Zhu +3 more
semanticscholar +1 more source
Divide & Conquer Imitation Learning
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 When cast into the Deep Reinforcement Learning framework, many robotics tasks require solving a long horizon and sparse reward problem, where learning algorithms struggle. In such context, Imitation Learning (IL) can be a powerful approach to bootstrap the learning process.
Chenu, Alexandre +2 more
openaire +3 more sources
TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models [PDF]
International Conference on Learning Representations, 2023 The full potential of large pretrained models remains largely untapped in control domains like robotics. This is mainly because of the scarcity of data and the computational challenges associated with training or fine-tuning these large models for such ...
Zuxin Liu +6 more
semanticscholar +1 more source
Multimodal imitative learning and synchrony in cetaceans: A model for speech and singing evolution
Frontiers in Psychology, 2023 Multimodal imitation of actions, gestures and vocal production is a hallmark of the evolution of human communication, as both, vocal learning and visual-gestural imitation, were crucial factors that facilitated the evolution of speech and singing ...
José Zamorano-Abramson +6 more
doaj +1 more source
Multistage Cable Routing Through Hierarchical Imitation Learning [PDF]
IEEE Transactions on robotics, 2023 We study the problem of learning to perform multistage robotic manipulation tasks, with applications to cable routing, where the robot must route a cable through a series of clips.
Jianlan Luo +7 more
semanticscholar +1 more source
An Automated Driving Strategy Generating Method Based on WGAIL–DDPG
International Journal of Applied Mathematics and Computer Science, 2021 Reliability, efficiency and generalization are basic evaluation criteria for a vehicle automated driving system. This paper proposes an automated driving decision-making method based on the Wasserstein generative adversarial imitation learning–deep ...
Zhang Mingheng +5 more
doaj +1 more source
IMITATION STRATEGIES FOR SME’S LEARNING PROCESS TOWARDS INNOVATION STRATEGIES
APMBA (Asia Pacific Management and Business Application), 2013 Imitation is actually a part of innovation strategy, the learning strategies to enter the market. It can be a stepping stone for SME”s in developing countries to innovate and to create a knowledge base to lower the innovation cost.
Rina Sulistiyani +3 more
doaj +1 more source
PLoS Biology, 2020 While there is no doubt that social signals affect human reinforcement learning, there is still no consensus about how this process is computationally implemented.
Anis Najar +3 more
doaj +1 more source