adaptadjust
Adaptadjust is a term used to describe a dual-process approach to operating and learning in dynamic environments, combining adaptation of internal models with adjustment of actions to maintain performance as conditions change. The concept is used across engineering, cognitive science, and data-driven decision systems to emphasize both rapid model updating and deliberate policy tuning.
Core idea: adaptation refers to automatic modification of internal representations or parameters in response to new
Relation to methods: adaptadjust overlaps with adaptive control, online learning, reinforcement learning, and meta-learning. Techniques include
Applications: robotics and autonomous systems navigating uncertain terrain; process control where disturbances shift plant dynamics; recommender
Challenges: ensuring stability and safety during rapid adaptation; avoiding overfitting to recent data; balancing fast adaptation
See also: adaptation; adjustment; adaptive control; online learning; reinforcement learning; meta-learning.