Diminishing Return of Value Expansion Methods Model-based reinforcement learning aims to increase sample efficiency, but the accuracy of dynamics models and the resulting compounding errors are often seen as key limitations. This paper empiricall...

Diminishing Return of Value Expansion Methods

Authors: Daniel Palenicek, Michael Lutter, João Carvalho, Daniel Dennert, Faran Ahmad, and Jan Peters Fellow

pre-print -> arxiv.org/abs/2412.20537

#rl #reinforcement_learning #modelbased_rl #value_expension