Affordance-based Reinforcement Learning for Urban Driving.
Tanmay AgarwalHitesh AroraJeff SchneiderPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- function approximation
- traffic safety
- reinforcement learning algorithms
- urban areas
- machine learning
- state space
- optimal policy
- dynamic programming
- temporal difference learning
- learning process
- transition model
- temporal difference
- action selection
- robotic control
- learning algorithm
- model free
- markov decision processes
- transfer learning
- supervised learning
- mobile robot
- learning classifier systems
- object categories
- learning problems
- man made
- real robot
- urban planning
- autonomous driving
- object recognition
- urban growth