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Disturbance-Observer-Based Tracking Controller for Neural Network Driving Policy Transfer
IEEE transactions on intelligent transportation systems (Print), 2020The neural network policies are widely explored in the autonomous driving field, thanks to their capability of handling complicated driving tasks. However, the practical deployment of such policies is slowed down due to their lack of robustness against ...
Chen Tang, Zhuo Xu, M. Tomizuka
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TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
Conference on Robot LearningLearning in simulation and transferring the learned policy to the real world has the potential to enable generalist robots. The key challenge of this approach is to address simulation-to-reality (sim-to-real) gaps.
Yunfan Jiang +4 more
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Mirage: Cross-Embodiment Zero-Shot Policy Transfer with Cross-Painting
Robotics: Science and Systems ConferenceThe ability to reuse collected data and transfer trained policies between robots could alleviate the burden of additional data collection and training.
L. Chen +5 more
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Using Bisimulation for Policy Transfer in MDPs
Proceedings of the AAAI Conference on Artificial Intelligence, 2010Knowledge transfer has been suggested as a useful approach for solving large Markov Decision Processes. The main idea is to compute a decision-making policy in one environment and use it in a different environment, provided the two are ”close enough”.
Pablo Samuel Castro, Doina Precup
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A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents
International Joint Conference on Artificial IntelligenceThe burgeoning fields of robot learning and embodied AI have triggered an increasing demand for large quantities of data. However, collecting sufficient unbiased data from the target domain remains a challenge due to costly data collection processes and ...
Haoyi Niu +3 more
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Efficient Deep Reinforcement Learning through Policy Transfer
Adaptive Agents and Multi-Agent Systems, 2020Transfer Learning (TL) has shown great potential to accelerate Reinforcement Learning (RL) by leveraging prior knowledge from past learned policies of relevant tasks.
Tianpei Yang +9 more
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Policy Transfer and Everyday Policy-Making
2015We have established two key propositions thus far. First, that the SCPO is a novel measure for serious and organised crime control, in that no such civil-criminal hybrid statutory instrument has been previously used to regulate or control the behaviour of individuals engaging in serious or organised criminal behaviour.
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2021
Owing to the institutional diversity within the region, policy transfer among countries in Asia is often not used to explain domestic policy changes. But the growing evidence of the spread of policies in various areas within the region suggests otherwise.
Saguin, K., Sha, K.
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Owing to the institutional diversity within the region, policy transfer among countries in Asia is often not used to explain domestic policy changes. But the growing evidence of the spread of policies in various areas within the region suggests otherwise.
Saguin, K., Sha, K.
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Policy transfer: the case of European Union–China cooperation in public administration reform
International Review of Administrative Sciences, 2019This article addresses the Chinese government’s accelerated process of administrative reform and focuses on the decade-long effort by China to develop transfer policies with selected European nations. Providing more efficient public services and building
Yanzhe Zhang, Xiao Yu
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Policy Transfer and the Internationalisation of Social Policy
Social Policy and Society, 2005This article analyses the theoretical utility of policy transfer in developing perspectives on international and comparative social policy. It argues that existing work on policy transfer provides us with a theoretical tool to connect perspectives on international policy change, by focussing on the knowledge base of policy and the motivations of actors
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