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A sparse matrix is a matrix where many of the elements are zeros. The tag can also be used for sparsity in other contexts, such as regression models with sparsity, or the "bet on sparsity"-principle.
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In a sparse reward problem, is it possible to remove reward shaping once the RL agent trains...
When the rewards are sparse and the state-space is very large, RL agents are often unable to learn because there is a very low probability of reaching the rewarding state(s) by random exploration in a … However, once the agent learns to find the correct area of the state-space, i.e. one that leads it to the rewarding locations which are sparse, you could remove the bonuses that you artificially constructed …