Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.
Yiren LuJustin FuGeorge TuckerXinlei PanEli BronsteinRebecca RoelofsBenjamin SappBrandyn WhiteAleksandra FaustShimon WhitesonDragomir AnguelovSergey LevinePublished in: IROS (2023)
Keyphrases
- reinforcement learning
- function approximation
- state space
- real world
- markov decision processes
- realistic scenarios
- transfer learning
- imitation learning
- model free
- robotic control
- supervised learning
- optimal policy
- autonomous driving
- learning problems
- reinforcement learning algorithms
- optimal control
- policy search
- data mining
- reinforcement learning methods
- action selection
- multi agent systems
- learning algorithm
- real time
- least squares
- decision trees
- dynamic programming