iLLM-TSC: Integration reinforcement learning and large language model for traffic signal control policy improvement.
Aoyu PangMaonan WangMan-On PunChung Shue ChenXi XiongPublished in: CoRR (2024)
Keyphrases
- control policy
- language model
- traffic signal
- reinforcement learning
- language modeling
- approximate dynamic programming
- long run
- traffic signal control
- n gram
- control policies
- probabilistic model
- retrieval model
- information retrieval
- context sensitive
- mixture model
- query expansion
- smoothing methods
- ad hoc information retrieval
- state space
- supervised learning
- dirichlet prior
- information fusion
- average cost
- search space
- multi agent
- learning algorithm
- machine learning