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. …”

Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Deep reinforcement learning agents trained using a curriculum solve navigation tasks with delayed rewards. by William L. Tong (22238845)

“…C: ADP outperforms INC and RAND (each teacher-student interaction is a step). The agent does not learn the task without a curriculum. …”

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

“…<div><p>Deep reinforcement learning has achieved significant success in complex decision-making tasks. …”

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. …”

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. …”

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

RL agent simulations for slowly-changing perceptual biases. by Yelin Dong (21396067)

“…(<b>C, D</b>) Same as (<b>A, B</b>), but with the RL agent having a much slower learning rate of 0.0004 deg/trial. …”

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. …”

AKIBoards: A Structure-Following Multiagent System for Predicting Acute Kidney Injury by David Gordon (264270)

“…In contrast, the SF-FT agent with the lowest recall decreased its confidence in true positive and false negative cases (suggesting a new belief). …”

Graphical representation of the optimization process in machine learning, focusing on the adjustment of weights during gradient descent. by Liu Liu (512237)

Figure 2 from Individualized Prediction of Drug Response and Rational Combination Therapy in NSCLC Using Artificial Intelligence–Enabled Studies of Acute Phosphoproteomic Changes by Elizabeth A. Coker (15024165)

Comparison of Mean Absolute Error (MAE) in Millimeters as a Function of Kernel Size. by Liu Liu (512237)

The significant decrease in GLT-1 levels observed in the nucleus accumbens of rats that had consumed morphine for fifty-six days was completely reversed by the co-administration of... by María Elena Quintanilla (8068691)

Data Sheet 1_Empagliflozin’s cardioenergetic protective effects through PPARα pathway modulation in heart failure.pdf by Hua Wei (60877)

“…Post-treatment, MRGlu and glucose uptake decreased markedly in the empagliflozin (EMPG) group, while no significant changes were observed in the fenofibrate (FF) group. …”

Modeling results of 8-week-old female C57BL/6J mice. by Yan She (8639796)

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)