Reward function related parameters. by Honglei Pang (22693724)

Subjects:

The average cumulative reward of algorithms. by Jianbin Zheng (587000)

“…The algorithm employs recurrent neural networks to capture and process historical information. …”

Comparative validation of TIS indicator in reward functions. by Yulin Tian (1457986)

Subjects:

Reward function weight combinations. by Bosen Zeng (22404042)

Comparative validation of overflow state feedback indicator in reward functions. by Yulin Tian (1457986)

Subjects:

Reward curve of DE-MADDPG algorithm in circular shaft-hole and square shaft-hole assembly. by Guohua Cao (697580)

Flowchart of step() function. by Raed Alharthi (18340157)

Pseudo-code of DMDDPG algorithm. by Guohua Cao (697580)

“…First, we analyze the stages of hole-seeking, alignment, and insertion in the shaft-hole assembly process, based on a comprehensive study of the interactions between shafts and holes. Next, a reward function is designed by integrating the decoupled multi-agent deterministic deep deterministic policy gradient (DMDDPG) algorithm. …”

Comparison of assembly results of three algorithms. by Guohua Cao (697580)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

Comparison of average reward values in various simulation scenarios. by Honglei Pang (22693724)

Subjects:

Main parameters of braking system. by Honglei Pang (22693724)

Subjects:

EMB and SBW system structure. by Honglei Pang (22693724)

Subjects:

Raw data. by Honglei Pang (22693724)

Subjects:

Code program. by Honglei Pang (22693724)

Subjects:

The HIL simulation data flowchart. by Honglei Pang (22693724)

Subjects:

Steering system model. by Honglei Pang (22693724)

Subjects:

Hyperparameter Configurations in PPO Training. by Honglei Pang (22693724)

Subjects: