Adaptive Discretization for Model-Based Reinforcement Learning

1 code implementation • NeurIPS 2020 • Sean R. Sinclair, Tianyu Wang, Gauri Jain, Siddhartha Banerjee, Christina Lee Yu

We introduce the technique of adaptive discretization to design an efficient model-based episodic reinforcement learning algorithm in large (potentially continuous) state-action spaces.

Model-based Reinforcement Learning reinforcement-learning +1