Adaptive process parameters decision-making in robotic grinding based on meta-reinforcement learning
J Pan, F Chen, D Han, S Ke, Z Wei, H Ding - Journal of Manufacturing …, 2025 - Elsevier
In robotic grinding, the variability of workpiece characteristics, uneven machining
allowances and nonlinear tool wear collectively pose challenges for consistent material …
allowances and nonlinear tool wear collectively pose challenges for consistent material …
[PDF][PDF] Learning from Consequences Shapes Reliance on Moral Rules vs. Cost-Benefit Reasoning
Many controversies arise from differences in how people resolve moral dilemmas by
following deontological moral rules versus consequentialist cost-benefit reasoning (CBR) …
following deontological moral rules versus consequentialist cost-benefit reasoning (CBR) …
[PDF][PDF] Metacognitive Learning from Consequences of Past Choices Shapes Moral Decision-Making
Many controversies arise from disagreements between moral rules and utilitarian cost-
benefit reasoning (CBR). We show how moral learning from consequences can produce …
benefit reasoning (CBR). We show how moral learning from consequences can produce …
[PDF][PDF] Beyond independent latent classes: Testing the limits of human flexibility
A hallmark of human intelligence is the ability to flexibly adapt to novel situations. This
flexibility relies crucially on the appropriate generalization of previously acquired …
flexibility relies crucially on the appropriate generalization of previously acquired …