Reinforcement Learning and Mechanism Design for Routing of Connected and Autonomous Vehicles.
Behrad KoohyPublished in: AAMAS (2023)
Keyphrases
- mechanism design
- autonomous vehicles
- reinforcement learning
- robot control
- structured environments
- path planning
- game theory
- incomplete information
- obstacle avoidance
- multiagent planning
- route planning
- multiagent systems
- incentive compatible
- approximately optimal
- autonomous agents
- optimal policy
- multi agent
- state space
- auction mechanisms
- combinatorial auctions
- real time
- prediction markets
- markov decision processes
- machine learning
- dynamic environments
- complex environments
- motion planning
- markov decision process
- shortest path
- mobile robot
- double auction
- dynamic programming
- multi agent systems
- knowledge base
- genetic algorithm