Markov Decision Processes with Continuous Side Information

Aditya Modi, Nan Jiang, Satinder Singh +1

We consider a reinforcement learning (RL) setting in which the agent interacts with a sequence of episodic MDPs. At the start of each episode the agent has access to some side-info…