Harnessing Reinforcement Learning for Neural Motion Planning.
Tom JurgensonAviv TamarPublished in: CoRR (2019)
Keyphrases
- motion planning
- reinforcement learning
- fitted q iteration
- degrees of freedom
- path planning
- network architecture
- mobile robot
- trajectory planning
- robot arm
- humanoid robot
- state space
- neural network
- multi robot
- robotic arm
- model free
- robotic tasks
- autonomous mobile robot
- configuration space
- inverse kinematics
- belief space
- manipulation tasks
- optimal policy
- collision free
- mechanical systems
- multi agent
- learning algorithm
- dynamic programming
- sensory inputs
- object recognition
- spatio temporal
- kinematic model
- climbing robot