Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning.
Richard LiawSanjay KrishnanAnimesh GargDaniel CrankshawJoseph E. GonzalezKen GoldbergPublished in: CoRR (2017)
Keyphrases
- autonomous driving
- reinforcement learning
- optimal policy
- hierarchical reinforcement learning
- grand challenge
- policy search
- markov decision process
- function approximation
- markov decision processes
- state space
- stereo vision
- fitted q iteration
- urban traffic
- vision algorithms
- robot control
- control policy
- machine learning
- learning algorithm
- partially observable markov decision processes
- control strategies
- multi agent
- high quality