Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning

Ride Sharing ◽

Simulation Based ◽

In this demo, we will present a simulation-based human-computer interaction of deep reinforcement learning in action on order dispatching and driver repositioning for ride-sharing. Specifically, we will demonstrate through several specially designed domains how we use deep reinforcement learning to train agents (drivers) to have longer optimization horizon and to cooperate to achieve higher objective values collectively.

A simulation-based embedded probe technique for human-computer interaction evaluation

Cognition Technology & Work ◽

10.1007/s10111-004-0161-3 ◽

2004 ◽

Vol 6 (3) ◽

Cited By ~ 8

Author(s):

EmilyS. Patterson ◽

MichelleL. Rogers ◽

MartaL. Render

Keyword(s):

Probe Technique ◽

Simulation Based ◽

Reinforcement learning based on human-computer interaction

Proceedings. International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2002.1174410 ◽

2003 ◽

Author(s):

Fang Liu ◽

Jian-Bo Su

Keyword(s):

Reinforcement Learning ◽

Research on 3D International River Visualization Simulation Based on Human-Computer Interaction

Wireless Communications and Mobile Computing ◽

10.1155/2020/8838617 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Shuanhu Li ◽

Jun Yang ◽

Ziwen Zhang

Keyword(s):

Processing Speed ◽

Three Dimensional ◽

Virtual Reality Technology ◽

Huge Data ◽

Simulation Based ◽

Visual Interaction ◽

International River ◽

The Mathematical Model ◽

With the development of digitalization in various fields, the water conservancy field is gradually developing digital three-dimensional visualization research to promote the development of digital watershed construction. This paper deeply analyzes and discusses the theory and application of three-dimensional visualization of river water scenes and realizes an interactive visual simulation system based on virtual reality technology, which simulates simulation and operation management, which can greatly accelerate the data. The processing speed makes the huge data be effectively utilized to provide visual interaction means for numerical simulation and data analysis, improve the efficiency of numerical calculation, and realize human-computer interaction communication, so that people can observe the phenomena and laws that are difficult to observe by traditional methods. The rationality of the mathematical model is analyzed for effectiveness.