| Title | A Novel Q-Learning Algorithm Based on the Stochastic Environment Path Planning Problem |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Li, Jian, Rong, Fei, Tang, Yu |
| Conference Name | 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) |
| Date Published | dec |
| Keywords | Heuristic algorithms, path planning, pubcrawl, Q-learning algorithm, reinforcement learning, resilience, Resiliency, Roads, security, Stochastic Computing Security, Stochastic processes, vehicle routing, Vehicle routing problem |
| Abstract | In this paper, we proposed a path planning algorithm based on Q-learning model to simulate an environment model, which is suitable for the complex environment. A virtual simulation platform has been built to complete the experiments. The experimental results show that the algorithm proposed in this paper can be effectively applied to the solution of vehicle routing problems in the complex environment. |
| DOI | 10.1109/TrustCom50675.2020.00270 |
| Citation Key | li_novel_2020 |
A Novel Q-Learning Algorithm Based on the Stochastic Environment Path Planning Problem