most citedAn Analysis of Model-Based Reinforcement Learning From Abstracted Observations

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

cs.LG2022★ 2 cited

An Analysis of Model-Based Reinforcement Learning From Abstracted Observations

Rolf A. N. Starre, Marco Loog, Elena Congeduti +1

Many methods for Model-based Reinforcement learning (MBRL) in Markov decision processes (MDPs) provide guarantees for both the accuracy of the model they can deliver and the learni…

cs.LG2019

Influence-aware Memory Architectures for Deep Reinforcement Learning

Miguel Suau, Jinke He, Elena Congeduti +3

Due to its perceptual limitations, an agent may have too little information about the state of the environment to act optimally. In such cases, it is important to keep track of the…