3 citations · 8 across the 3 of their papers we have counts for
3 papers
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…
Loss Bounds for Approximate Influence-Based Abstraction
Elena Congeduti, Alexander Mey, Frans A. Oliehoek
Sequential decision making techniques hold great promise to improve the performance of many real-world systems, but computational complexity hampers their principled application. I…
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…