-AC: Learning latent decision-aware models for reinforcement learning in continuous state-spaces
The idea of decision-aware model learning, that models should be accurate where it matters
for decision-making, has gained prominence in model-based reinforcement learning. While …
for decision-making, has gained prominence in model-based reinforcement learning. While …
Exploration Versus Exploitation in Model-Based Reinforcement Learning: An Empirical Study
ÂG Lovatto, LN de Barros, DD Mauá - Brazilian Conference on Intelligent …, 2022 - Springer
Abstract Model-based Reinforcement Learning (MBRL) agents use data collected by
exploration of the environment to produce a model of the dynamics, which is then used to …
exploration of the environment to produce a model of the dynamics, which is then used to …