219 citations · 220 across the 3 of their papers we have counts for
1 paper · 1 filter
Eivind Bøhn, Signe Moe, Tor Arne Johansen
Reinforcement Learning in domains with sparse rewards is a difficult problem, and a large part of the training process is often spent searching the state space in a more or less ra…