Decision-making for Autonomous Vehicles on Highway: Deep Reinforcement Learning with Continuous Action Horizon.
Teng LiuHong WangBing LuJun LiDongpu CaoPublished in: CoRR (2020)
Keyphrases
- autonomous vehicles
- continuous action
- policy search
- reinforcement learning
- decision making
- continuous state
- action space
- robot control
- obstacle avoidance
- structured environments
- path planning
- partially observable markov decision processes
- action selection
- decision makers
- multiagent systems
- mobile robot
- function approximation
- robot navigation
- function approximators
- reinforcement learning algorithms
- markov decision processes
- fuzzy logic
- state space
- learning algorithm
- temporal difference
- real time
- model free
- state dependent
- machine learning
- finite state
- policy gradient
- dynamic programming
- multi agent