Intent-aware Multi-agent Reinforcement Learning

@article{Qi2018IntentawareMR,
  title={Intent-aware Multi-agent Reinforcement Learning},
  author={Siyuan Qi and Song-Chun Zhu},
  journal={CoRR},
  year={2018},
  volume={abs/1803.02018}
}
This paper proposes an intent-aware multi-agent planning framework as well as a learning algorithm. Under this framework, an agent plans in the goal space to maximize the expected utility. The planning process takes the belief of other agents’ intents into consideration. Instead of formulating the learning problem as a partially observable Markov decision process (POMDP), we propose a simple but effective linear function approximation of the utility function. It is based on the observation that… CONTINUE READING