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cs.LG2026
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…
cs.LG2023
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…