Results 51 to 60 of about 34,803,504 (287)
Objective Mismatch in Model-based Reinforcement Learning
CoRR, 2020 9 pages, 2 pages references, 5 pages ...
Nathan O. Lambert +3 more
openaire +4 more sources
FEBS Open Bio, EarlyView.The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley +1 more source
Reinforcement learning-based statistical search strategy for an axion model from flavor
Journal of High Energy PhysicsWe propose a reinforcement learning-based search strategy to explore new physics beyond the Standard Model. The reinforcement learning, which is one of machine learning methods, is a powerful approach to find model parameters with phenomenological ...
Satsuki Nishimura +2 more
doaj +1 more source
An Adaptive Energy Management Strategy for Off-Road Hybrid Tracked Vehicles
EnergiesConventional energy management strategies based on reinforcement learning often fail to achieve their intended performance when applied to driving conditions that significantly deviate from their training conditions.
Lijin Han, Wenhui Shi, Ningkang Yang
doaj +1 more source
FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
PILCO: A Model-Based and Data-Efficient Approach to Policy Search [PDF]
, 2011 04.07.13 KB. Ok to add accepted version to Spiral. Authors retain copyright.In this paper, we introduce PILCO, a practical, data-efficient model-based policy search method.
Rasmussen, Carl E, Deisenroth, Marc P
core
Cell surface CD11c as a neutrophil aging marker molecule
FEBS Open Bio, EarlyView.Cell surface CD11chi neutrophils were more aged and had better phagocytic function than CD11c−/lo neutrophils. Transcriptomic analysis of CD11chi neutrophils and CD11c−/lo neutrophils in pediatric population showed that the most difference was seen in infants.
Sophia Koutsogiannaki +5 more
wiley +1 more source
Model Embedding Model-Based Reinforcement Learning
CoRR, 2020 Model-based reinforcement learning (MBRL) has shown its advantages in sample-efficiency over model-free reinforcement learning (MFRL). Despite the impressive results it achieves, it still faces a trade-off between the ease of data generation and model bias.
Xiaoyu Tan +3 more
openaire +3 more sources
FEBS Open Bio, EarlyView.This pilot study investigates the potential of Generative AI to provide formative feedback to students. ChatGPT was prompted to provide feedback on Year 1 Bioscience essays, which were evaluated against established good feedback practices. GenAI‐authored feedback had useful elements, but was limited in scope. GenAI may have potential to provide instant,
Annabel Court +3 more
wiley +1 more source
Exploring the limits of hierarchical world models in reinforcement learning
Scientific ReportsHierarchical model-based reinforcement learning (HMBRL) aims to combine the sample efficiency of model-based reinforcement learning with the abstraction capability of hierarchical reinforcement learning.
Robin Schiewer +2 more
doaj +1 more source