Online reinforcement learning with sparse rewards through an active inference capsule

1 code implementation • 4 Jun 2021 • Alejandro Daniel Noel, Charel van Hoof, Beren Millidge

Our model is capable of solving sparse-reward problems with a very high sample efficiency due to its objective function, which encourages directed exploration of uncertain states.

Offline RL reinforcement-learning +1