Results 71 to 80 of about 12,004,986 (327)

Multi-Task Policy Search for Robotics [PDF]

, 2014
© 2014 IEEE.Learning policies that generalize across multiple tasks is an important and challenging research topic in reinforcement learning and robotics.
Deisenroth, MP, Englert, P, Fox, D, Peters, J   +3 more
core   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

Role Playing Learning for Socially Concomitant Mobile Robot Navigation

, 2017
In this paper, we present the Role Playing Learning (RPL) scheme for a mobile robot to navigate socially with its human companion in populated environments.
Ge, Shuzhi Sam, Jiang, Rui, Lee, Tong Heng, Li, Mingming   +3 more
core   +1 more source

Self-Supervised Correspondence in Visuomotor Policy Learning [PDF]

IEEE Robotics and Automation Letters, 2019
In this letter, we explore using self-supervised correspondence for improving the generalization performance and sample efficiency of visuomotor policy learning. Prior work has primarily used approaches such as autoencoding, pose-based losses, and end-to-
Peter R. Florence, Lucas Manuelli, Russ Tedrake   +2 more
semanticscholar   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

Implementing Systemic Innovation Strategies for a More Sustainable Future: The Case of Three Overseas Countries and Territories

Frontiers in Research Metrics and Analytics, 2022
Addressing sustainability issues requires a radical systemic change across multiple dimensions, including policy, culture, and civil society. This also implies that no blueprints for governing critical sustainability issues both at the local and global ...
Renato Toffanin, Milan Jezic von Gesseneck   +1 more
doaj   +1 more source

Learning policy constraints through dialogue [PDF]

, 2009
Publisher ...
Emele, Chukwuemeka David, Guerin, Frank, Norman, Timothy J, Parsons, Simon   +3 more
core   +1 more source

Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog [PDF]

Conference on Empirical Methods in Natural Language Processing, 2019
Dialog policy decides what and how a task-oriented dialog system will respond, and plays a vital role in delivering effective conversations. Many studies apply Reinforcement Learning to learn a dialog policy with the reward function which requires ...
Ryuichi Takanobu, Hanlin Zhu, Minlie Huang   +2 more
semanticscholar   +1 more source

Applying an Ethical Lens to the Treatment of People With Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The practice of neurology requires an understanding of clinical ethics for decision‐making. In multiple sclerosis (MS) care, there are a wide range of ethical considerations that may arise. These involve shared decision‐making around selection of a disease‐modifying therapy (DMT), risks and benefits of well‐studied medications in comparison to
Methma Udawatta, Farrah J. Mateen
wiley   +1 more source

Lessons Learned from Social Forestry Policy in Java Forest: Shaping the Way Forward for New Forest Status in ex-Perhutani Forest Area

Jurnal Ilmu Kehutanan, 2019
Forest resource control in Indonesia has progressed from stringent state control towards a more community and indigenous based. Indonesia has embarked a journey in agrarian reform and social forestry to achieve a more balanced portion of forest resource ...
Andita Aulia Pratama
doaj   +1 more source