2022
Interactive Inverse Reinforcement Learning for Cooperative Games
ICML 2022spotlight
We study the problem of designing autonomous agents that can learn to cooperate effectively with a potentially suboptimal partner while having no access to the joint reward function. This problem is modeled as a cooperative episodic two-agent Markov decision process. We assume control over only the…