Running time in the PPO process. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Speed limits and gradients from RJ to WYJ. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

EITO_E speed distance profile. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Speed limits and gradient from SJZ to XHM. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Parameters of DKZ32. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

EITO_<i>P</i> with a variable trip time. by Yunhu Huang (21402795)

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”

Table1_Site selection and capacity determination of charging stations considering the uncertainty of users’ dynamic charging demands.pdf by Zhang Linjuan (17803466)

“…Finally, an uncertain scenario set is introduced into the capacity determination model to describe the uncertainty of the users’ dynamic charging demands, and the robust optimization theory is utilized to solve the capacity of the charging station. …”

Supplementary file 1_Collaborative optimal operation control of HVAC systems based on multi-agent.docx by Chen Fu (165356)

“…Hence, there is an immediate requirement to boost both the energy efficiency of the system and the computing efficiency in order to strengthen the system’s robustness. In this paper, a collaborative optimization approach based on multi-agent is initially put forward to address the overall optimization issue (OOI) of a complicated HVAC system. …”

Video1_Model-based monocular 6-degree-of-freedom pose tracking for asteroid.MP4 by Hao Tang (44155)

Test data for Map 3. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Test data for Map 1. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Test data for Map 2. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Experimental parameter settings. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Agent observation range mapping. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Results of ablation experiments. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Performance of agents on maps of different sizes. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Test data for Map 4. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Diagram of SDPGAT-G communication model. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

The framework of our model. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”

Information on each atlas. by Qingling Zhang (758713)

“…However, due to partial observability, agents often struggle to determine optimal strategies. Thus, developing a robust information fusion method is crucial for addressing these challenges. …”