Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Comparison of Q-learning and DQN. by Jiandong Qiu (20389944)

“…<p>A schematic of the Q-learning algorithm is shown at the top, and a schematic of the DQN algorithm is shown at the bottom.…”

Snapshot of Q-table at some time instance for Q-learning. by Muhammad Waqar (500788)

Performance of various biclustering algorithms on FilmTrust dataset with Q-learning. by Muhammad Waqar (500788)

“…<p>Performance of various biclustering algorithms on FilmTrust dataset with Q-learning.</p>…”

G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

Data_File_1_Q_Learning in IsOWC system.csv by Subhash Suman (20854010)

Subjects:

Performance of various biclustering algorithms on ML-100K dataset with Q- learning. by Muhammad Waqar (500788)

“…<p>Performance of various biclustering algorithms on ML-100K dataset with Q- learning.</p>…”

Performance of various biclustering algorithms on ML-latest-small dataset with Q-learning. by Muhammad Waqar (500788)

“…<p>Performance of various biclustering algorithms on ML-latest-small dataset with Q-learning.…”

Evaluation metrics with Q-learning on ML-latest-small. by Muhammad Waqar (500788)

Code and data. by Shangyang Jin (21772466)

The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

Maple code for algorithm 3. by Peter Thompson (165468)

Evaluation results obtained with Q-learning on ML-100K. by Muhammad Waqar (500788)

code&data by Liyuan Liu (18298084)

The metro zone algorithm pseudo-code. by Sarah Alhumoud (22258183)

Parameter configuration for deep reinforcement learning algorithm. by Sen Cao (6017846)

Data and code. by Hao Cao (2248066)

Neighborhood operators (actions) in Q-learning. by Zhongfeng Li (3965060)

“…<div><p>Coal blending in thermal power plants is a complex multi-objective challenge involving economic, operational and environmental considerations. This study presents a Q-learning-enhanced NSGA-II (QLNSGA-II) algorithm that integrates the adaptive policy optimization of Q-learning with the elitist selection of NSGA-II to dynamically adjust crossover and mutation rates based on real-time performance metrics. …”

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”