Learning Urban Driving Policies using Deep Reinforcement Learning.
Tanmay AgarwalHitesh AroraJeff SchneiderPublished in: ITSC (2021)
Keyphrases
- reinforcement learning
- learning process
- learning problems
- learning systems
- learning algorithm
- policy search
- active learning
- learning capabilities
- policy gradient methods
- reinforcement learning methods
- supervised learning
- model free
- neural network
- markov decision processes
- knowledge acquisition
- online learning
- learning tasks
- reinforcement learning algorithms
- optimal policy
- markov decision process
- deep learning
- learning agents
- temporal difference learning
- unsupervised learning
- hierarchical reinforcement learning
- macro actions
- eligibility traces