A Quick Employment of Markov Decision Process (MDP) in Partially Unknown Three-dimensional Discrete Space
- Resource Type
- Conference
- Authors
- Liu, Enxu; Zhu, Hongyi
- Source
- 2023 International Conference on Intelligent Computing and Control (IC&C) IC-C Intelligent Computing and Control (IC&C), 2023 International Conference on. :48-58 Feb, 2023
- Subject
- Computing and Processing
Three-dimensional displays
Employment
Markov processes
Planning
Robots
MDP
planning
discrete
3D
- Language
This project aims to develop a planning algorithm under partially unknown 3D discrete space. Value iteration is employed since MDP complies with the state transition and decision patterns here, with an adaption for changing transitional probabilities and rewards. Eventually, the robot conducts an optimal policy on a fully known map and reaches the destination in a partially unknown environment with less efficiency.