Results 81 to 90 of about 196,068 (330)
Advanced Robotics Research, EarlyView.A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Qualitatively varied reinforcement does not increase rates of schedule-induced behaviour
PsicológicaQualitatively varied reinforcement (QVR) refers to the delivery of two or more consequences for the same operant response. It has been suggested that QVR ought to elicit higher response rates than a single reinforcer.
Cuitláhuac Núñez-Santana +3 more
doaj +1 more source
Adaptable bandwidth planning using reinforcement learning [PDF]
Journal of Systemics, Cybernetics and Informatics, 2006 In order to improve the bandwidth allocation considering feedback of operational environment, adaptable bandwidth planning based on reinforcement learning is proposed.
Dirk Hetzer
doaj
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
The Effect of Effort: An analysis of Killeen's (1994) Mathematical Principles of Reinforcement [PDF]
, 2011 Mathematical Principles of Reinforcement (MPR, Killeen, 1994) is a mathematical model comprising three main concepts; an animal’s arousal to behaviour based on its motivation for a particular reinforcer, time and energy constraints on responding, and ...
Bjarnesen, Rebecca Claire
core +1 more source
Advanced Robotics Research, EarlyView.Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
Advanced Science, EarlyView.IL‐15‐engineered stem cell–NK cell complexes, assembled via bioorthogonal chemistry, enable effective lung cancer immunotherapy. Abstract Natural killer (NK) cells represent a powerful immunotherapeutic strategy due to their intrinsic cytotoxicity and ability to target tumor cells independently of antigen presentation.
Qian Zhang +15 more
wiley +1 more source
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Advanced Science, EarlyView.Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
A reinforcement learning model with choice traces for a progressive ratio schedule
Frontiers in Behavioral NeuroscienceThe progressive ratio (PR) lever-press task serves as a benchmark for assessing goal-oriented motivation. However, a well-recognized limitation of the PR task is that only a single data point, known as the breakpoint, is obtained from an entire session ...
Keiko Ihara +6 more
doaj +1 more source
Food Restriction Level and Reinforcement Schedule Differentially Influence Behavior during Acquisition and Devaluation Procedures in Mice. [PDF]
eNeuro, 2023 Chevée M +5 more
europepmc +1 more source