Hierarchical Reinforcement Learning-Based Policy Switching Towards Multi-Scenarios Autonomous Driving.
Youtian GuoQichao ZhangJunjie WangShasha LiuPublished in: IJCNN (2021)
Keyphrases
- hierarchical reinforcement learning
- autonomous driving
- reinforcement learning
- reward function
- grand challenge
- markov decision process
- average reward
- optimal policy
- stereo vision
- state abstraction
- model free
- vision algorithms
- state space
- markov decision processes
- policy iteration
- generative model
- urban traffic
- mobile robot