Zero-shot Deep Reinforcement Learning Driving Policy Transfer for Autonomous Vehicles based on Robust Control.
Zhuo XuChen TangMasayoshi TomizukaPublished in: CoRR (2018)
Keyphrases
- autonomous vehicles
- reinforcement learning
- robot control
- optimal policy
- control policy
- action selection
- obstacle avoidance
- path planning
- transfer learning
- control problems
- policy search
- route planning
- markov decision process
- structured environments
- urban traffic
- control system
- real time
- control policies
- parameter tuning
- function approximators
- driver assistance systems
- optimal control
- autonomous agents
- state space
- model free
- multiagent systems
- dynamic programming
- temporal difference
- reward function
- complex environments
- control method
- control strategy
- action space
- markov decision processes
- dynamic environments
- multi agent
- neural network