Deep Reinforcement Learning Based Game-Theoretic Decision-Making for Autonomous Vehicles.
Mingfeng YuanJinjun ShanKevin MiPublished in: IEEE Robotics Autom. Lett. (2022)
Keyphrases
- game theoretic
- autonomous vehicles
- decision making
- reinforcement learning
- robot control
- game theory
- path planning
- obstacle avoidance
- structured environments
- decision problems
- nash equilibrium
- decision makers
- imperfect information
- multiagent systems
- mobile robot
- optimal policy
- nash equilibria
- trust model
- autonomous agents
- fuzzy logic
- solution concepts
- state space
- agent programming
- pure nash equilibria
- rational agents
- complex environments
- multi agent
- learning algorithm
- minority game
- real time