Driving-Policy Adaptive Safeguard for Autonomous Vehicles Using Reinforcement Learning.
Zhong CaoShaobing XuSongan ZhangHuei PengDiange YangPublished in: CoRR (2020)
Keyphrases
- autonomous vehicles
- reinforcement learning
- optimal policy
- policy search
- path planning
- actor critic
- robot control
- function approximation
- control policy
- action selection
- policy gradient
- obstacle avoidance
- machine learning
- structured environments
- real time
- reward function
- reinforcement learning algorithms
- temporal difference
- markov decision processes
- multiagent systems
- state space
- partially observable markov decision processes
- function approximators
- urban traffic
- dynamic programming
- expert systems
- neural network