Assessing Policy, Loss and Planning Combinations in Reinforcement Learning using a New Modular Architecture

no code implementations • 8 Jan 2022 • Tiago Gaspar Oliveira, Arlindo L. Oliveira

In this work, we propose a new modular software architecture suited for these types of agents, and a set of building blocks that can be easily reused and assembled to construct new model-based reinforcement learning agents.

Model-based Reinforcement Learning reinforcement-learning +1