HOPE: A Reinforcement Learning-based Hybrid Policy Path Planner for Diverse Parking Scenarios.
Mingyang JiangYueyuan LiSongan ZhangChunxiang WangMing YangPublished in: CoRR (2024)
Keyphrases
- path planner
- reinforcement learning
- robot soccer
- action selection
- optimal policy
- robot path planning
- path planning
- mobile robot
- cellular automata
- policy search
- markov decision processes
- real world
- markov decision process
- reward function
- international space station
- dynamic environments
- function approximators
- action space
- spatial reasoning
- temporal difference
- reinforcement learning algorithms
- dynamic programming
- state space
- control policy
- real robot
- machine learning
- learning algorithm
- function approximation
- model free
- infinite horizon
- neural network
- collision free
- policy gradient
- feature points
- heuristic search
- motion planning
- optimal control