Results 151 to 160 of about 2,274,708 (332)
Composing Option Sequences by Adaptation: Initial Results [PDF]
Robot manipulation in real-world settings often requires adapting the robot's behavior to the current situation, such as by changing the sequences in which policies execute to achieve the desired task. Problematically, however, we show that composing a novel sequence of five deep RL options to perform a pick-and-place task is unlikely to successfully ...
arxiv
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization [PDF]
Real-world tasks are often highly structured. Hierarchical reinforcement learning (HRL) has attracted research interest as an approach for leveraging the hierarchical structure of a given task in reinforcement learning (RL). However, identifying the hierarchical policy structure that enhances the performance of RL is not a trivial task.
arxiv
The Real Options Effect of Uncertainty on Investment and Labor Demand [PDF]
Nicholas Bloom
openalex +1 more source
Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu+15 more
wiley +1 more source
Real Options, Patents, Productivity and Market Value: Evidence from a Panel of British Firms [PDF]
Nicholas Bloom, John Van Reenen
openalex +1 more source
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes+20 more
wiley +1 more source
A market resilient data-driven approach to option pricing [PDF]
In this paper, we present a data-driven ensemble approach for option price prediction whose derivation is based on the no-arbitrage theory of option pricing. Using the theoretical treatment, we derive a common representation space for achieving domain adaptation. The success of an implementation of this idea is shown using some real data.
arxiv
On the Property of Real Options and the Assets that Give Rise to Them [PDF]
José Pablo Dapena
openalex +1 more source
Real Options Valuation of Abandoned Farmland [PDF]
I investigate the decision-making process of an owner of abandoned farmland that is currently restricted to agricultural use but will be available for nonagricultural use in the future.
Michi Nishihara
core
Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu+11 more
wiley +1 more source