Hardik Meisheri

FoLaR: Foggy Latent Representations for Reinforcement Learning with Partial Observability

2021

We propose a novel methodology for improving the rate and consistency of reinforcement learning in partially observable (foggy) environments, under the broader umbrella of robust latent representations. The present work addresses partially observable environments, which …