SafeDriveRL: Combining Non-cooperative Game Theory with Reinforcement Learning to Explore and Mitigate Human-based Uncertainty for Autonomous Vehicles.
Kenneth H. ChanSol ZilbermanNick PolancoJoshua E. SiegelBetty H. C. ChengPublished in: SEAMS@ICSE (2024)
Keyphrases
- autonomous vehicles
- reinforcement learning
- cooperative game theory
- robot control
- structured environments
- path planning
- function approximation
- obstacle avoidance
- cooperative games
- multiagent systems
- game theory
- mechanism design
- state space
- model free
- human behavior
- reinforcement learning algorithms
- real time
- markov decision processes
- cooperative
- machine learning