100 citations · 232 across the 10 of their papers we have counts for
12 papers
Robust Successor Features
Erik Nikulski, Yamen Habib, Vicenç Gomez +3
Generalization in Reinforcement Learning (RL) refers to the ability to execute close-to-optimal policies in unseen tasks after the agent has been trained on a different set of task…
How Intrinsic Motivation Underlies Embodied Open-Ended Behavior
Rubén Moreno-Bote, Ralf Haefner, Jordi Galiano-Landeira +2
Although most theories posit that natural behavior can be explained as maximizing some form of extrinsic reward, often called utility, some behaviors appear to be reward independen…
A general Markov decision process formalism for action-state entropy-regularized reward maximization
Dmytro Grytskyy, Jorge Ramírez-Ruiz, Rubén Moreno-Bote
Previous work has separately addressed different forms of action, state and action-state entropy regularization, pure exploration and space occupation. These problems have become e…
Complex behavior from intrinsic motivation to occupy action-state path space
Jorge Ramírez-Ruiz, Dmytro Grytskyy, Chiara Mastrogiuseppe +2
Most theories of behavior posit that agents tend to maximize some form of reward or utility. However, animals very often move with curiosity and seem to be motivated in a reward-fr…
Deep imagination is a close to optimal policy for planning in large decision trees under limited resources
Ruben Moreno-Bote, Chiara Mastrogiuseppe
Many decisions involve choosing an uncertain course of actions in deep and wide decision trees, as when we plan to visit an exotic country for vacation. In these cases, exhaustive…
Optimal allocation of finite sampling capacity in accumulator models of multi-alternative decision making
Jorge Ramírez-Ruiz, Rubén Moreno-Bote
When facing many options, we narrow down our focus to very few of them. Although behaviors like this can be a sign of heuristics, they can actually be optimal under limited cogniti…