Results 41 to 50 of about 37,169,246 (294)
On Rollouts in Model-Based Reinforcement Learning
CoRRModel-based reinforcement learning (MBRL) seeks to enhance data efficiency by learning a model of the environment and generating synthetic rollouts from it. However, accumulated model errors during these rollouts can distort the data distribution, negatively impacting policy learning and hindering long-term planning.
Bernd Frauenknecht +3 more
openaire +4 more sources
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source
Research on automatic pilot repetition generation method based on deep reinforcement learning
Frontiers in Neurorobotics, 2023 Using computers to replace pilot seats in air traffic control (ATC) simulators is an effective way to improve controller training efficiency and reduce training costs.
Weijun Pan +4 more
doaj +1 more source
Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Attitudes of cancer patients toward ctDNA‐based liquid biopsy for follow‐up
Molecular Oncology, EarlyView.This mixed‐methods study explored cancer patients' experiences, knowledge, and preferences regarding ctDNA‐based liquid biopsy for follow‐up. Awareness of ctDNA was low and recall of previous liquid biopsy was imperfect, yet acceptance was high.
Siddharth Chhajlani +7 more
wiley +1 more source
Ain Shams Engineering Journal, 2018 Presently, Learning Style Detection (LSD) has acquired a greater interest in the adaptive learning environment of any academic system. The existing methods of learning environment have facility such as content management and learner data analysis.
V. Balasubramanian, S. Margret Anouncia
doaj +1 more source
Physics-Informed Model-Based Reinforcement Learning
CoRR, 2022 We apply reinforcement learning (RL) to robotics tasks. One of the drawbacks of traditional RL algorithms has been their poor sample efficiency. One approach to improve the sample efficiency is model-based RL. In our model-based RL algorithm, we learn a model of the environment, essentially its transition dynamics and reward function, use it to ...
Adithya Ramesh, Balaraman Ravindran
openaire +3 more sources
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
The impact of leukocyte‐associated RNA retention on platelet RNA‐based cancer detection
Molecular Oncology, EarlyView.Platelets carry RNA signals that may help detect cancer, but platelet samples can also retain RNA from white blood cells. We found that this retained white blood cell signal did not significantly affect machine learning cancer classification, suggesting that the cancer‐related RNA signal in platelets is largely independent of leukocyte‐associated RNA ...
Michał Sieczczyński +12 more
wiley +1 more source
Aero-Engine Modeling and Control Method with Model-Based Deep Reinforcement Learning
Aerospace, 2023 Due to the strong representation ability and capability of learning from data measurements, deep reinforcement learning has emerged as a powerful control method, especially for nonlinear systems, such as the aero-engine control system.
Wenbo Gao +4 more
doaj +1 more source