Autonomous Highway Driving using Deep Reinforcement Learning.
Subramanya NageshraoH. Eric TsengDimitar P. FilevPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- autonomous learning
- traffic accidents
- traffic safety
- function approximation
- state space
- model free
- robotic systems
- learning capabilities
- cooperative
- multi agent
- optimal policy
- reinforcement learning algorithms
- learning algorithm
- deep learning
- database
- function approximators
- autonomous driving
- temporal difference
- markov decision processes
- learning process
- data mining
- markov decision process
- learning problems
- transfer learning
- stochastic approximation
- dynamic programming
- multi agent reinforcement learning
- semi autonomous