ActAs and CoT prompt strategies do not result in decreased error rate for tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

Self-correction prompt strategy results in decreased error rate for all tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

fileCont prompt strategy results in decreased error rate for some tasks with increasing complexity. by Jacqueline A. Jansen (14894276)

GPT-4 results in decreased error rate for all tasks with increasing complexity when compared to GPT-3.5-turbo. by Jacqueline A. Jansen (14894276)

Simple block slopes on proportion of risky decisions based on task. by Brooke H. Nancekivell (19949839)

Subjects:

Network architectures for multi-agents task. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Regions of significance for the simple block slopes on proportion of risky decisions as a function of past-month nonsuicidal self-injury (NSSI) and task. by Brooke H. Nancekivell (19949839)

Subjects:

Time(s) and GFLOPs savings of single-agent tasks. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. by Gillian P. McHugo (8965919)

Scores vs Skip ratios on single-agent task. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Demographic and self-injury history characteristics for the sample. by Brooke H. Nancekivell (19949839)

Subjects:

Bivariate correlations and descriptive statistics for study variables. by Brooke H. Nancekivell (19949839)

Subjects:

Decision-making deconstructed. by Jyotika Bahuguna (729510)

Win rate vs Skip ratios on multi-agents tasks. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Single agent and multi-agents tasks for <i>LazyAct</i>. by Hongjie Zhang (136127)

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. However, the high computational cost of policies based on deep neural networks restricts their practical application. …”

Ventromedial PFC pattern-separates cue-task associations. by Guochun Yang (1329693)

PVGs of subject 1 at task start, near SPL apex and near the end of the task (from top to bottom). by Jonas Kirsch (20642910)

GI-1d-a: Comparison of estimates of people for dataset A (left bar) and B (right bar) per region. The largest discrepancies occur in areas of NE, SE and SW Germany and adjacent reg... by Isabell Schmidt (6331013)

Training and validation loss per epoch for different pretext task combinations. by Shima Ayyoubi Nezhad (21276429)

Table_4_Theta burst stimulation on the fronto-cerebellar connective network promotes cognitive processing speed in the simple cognitive task.DOCX by Ning Zhao (84707)