Decision Making for Driving Agent in Traffic Simulation via Adversarial Inverse Reinforcement Learning.
Naiting ZhongJunyi ChenYining MaWei JiangPublished in: ITSC (2023)
Keyphrases
- decision making
- inverse reinforcement learning
- reward function
- multi agent
- preference elicitation
- bayesian nonparametric
- partially observable environments
- action selection
- multiple agents
- decision makers
- multi agent systems
- multiagent systems
- partially observable
- fuzzy logic
- data mining
- markov decision processes
- social welfare
- reinforcement learning