Reinforcement Learning in Robotic Motion Planning by Combined Experience-based Planning and Self-Imitation Learning.
Sha LuoLambert SchomakerPublished in: CoRR (2023)
Keyphrases
- motion planning
- imitation learning
- humanoid robot
- reinforcement learning
- robotic tasks
- mobile robot
- degrees of freedom
- trajectory planning
- robotic arm
- real robot
- biologically inspired
- multi modal
- manipulation tasks
- robotic systems
- collision free
- path planning
- reinforcement learning methods
- function approximation
- control law
- state space
- multi robot
- dynamic programming
- reinforcement learning algorithms
- temporal difference
- support vector
- function approximators
- control problems
- model free
- optimal policy