Results 91 to 100 of about 6,292,535 (287)
Integrating Palliative Care into the Health System in Lebanon [PDF]
, 2018 K2P Policy Briefs bring together global research evidence, local evidence and context-specific knowledge to inform deliberations about health policies and programmes.
Souiedan, Sara +2 more
core
Advanced Science, EarlyView.DAIMS is a multimodal model for treatment stratified risk and survival assessment in colorectal cancer. Training draws on pathology, genomics, and clinical reports, yet inference requires only whole slide images, and adaptation to new cohorts proceeds without target survival outcomes.
Chuangjie Cao +15 more
wiley +1 more source
On training intelligent agents in a virtual environment for the robot manipulator control task
Известия Томского политехнического университета: Промышленная кибернетикаRelevance. The necessity for developing effective methods for training intelligent agents in robotic manipulator control tasks in a virtual environment is critically important for enhancing the accuracy and efficiency of industrial and research processes
Nikita E. Zalogin, Dmitriy S. Grigorev
doaj +1 more source
Strengthening Emergency Medical Services in Lebanon [PDF]
, 2017 K2P Policy Briefs bring together global research evidence, local evidence and context-specific knowledge to inform deliberations about health policies and programmes.
El Sayed, Mazen +4 more
core
, 2022 the data and code of Robot Fast Peg-In-Hole Assembly Policy Based on Experience Fusion Proximal Policy ...
Yu Men (13278303)
core +1 more source
An Expertise Transfer Framework For Autonomous Surgical Assistance
Advanced Science, EarlyView.This study introduces an expertise transfer framework for procedure‐spanning autonomous surgical assistance. By emulating expert logic through hierarchical perception, attention modeling, and knowledge graph‐based decision‐making, the system provides near‐expert surgical view assistance.
Yuan Gao +12 more
wiley +1 more source
Diffusion Policy through Conditional Proximal Policy Optimization
CoRRReinforcement learning (RL) has been extensively employed in a wide range of decision-making problems, such as games and robotics. Recently, diffusion policies have shown strong potential in modeling multi-modal behaviors, enabling more diverse and flexible action generation compared to the conventional Gaussian policy.
Ben Liu, Shunpeng Yang, Hua Chen 0007
openaire +3 more sources
A Logarithmic Barrier Method For Proximal Policy Optimization
CoRR, 2018 Proximal policy optimization(PPO) has been proposed as a first-order optimization method for reinforcement learning. We should notice that an exterior penalty method is used in it. Often, the minimizers of the exterior penalty functions approach feasibility only in the limits as the penalty parameter grows increasingly large.
Cheng Zeng, Hongming Zhang 0003
openaire +3 more sources
Vine‐Inspired Soft Robotics: Materials, Actuations, and Emerging Applications
Advanced Science, EarlyView.Vine‐inspired robots grow from the tip, enabling navigation through confined spaces with minimal disturbance. This Review summarizes material and actuation strategies for vine‐inspired growth, key functions including steering, retraction, attachment, branching, and variable stiffness, and emerging applications spanning medical intervention, confined ...
Jiahao Wu +7 more
wiley +1 more source
Learning Branching Policies for MILPs with Proximal Policy Optimization
Proceedings of the AAAI Conference on Artificial IntelligenceBranch-and-Bound (B&B) is the dominant exact solution method for Mixed Integer Linear Programs (MILP), yet its exponential time complexity poses significant challenges for large-scale instances. The growing capabilities of machine learning have spurred efforts to improve B&B by learning data-driven branching policies.
Abdelouahed Ben Mhamed +2 more
openaire +4 more sources