DBGFQN swaps transformer feed-forward networks for a single BiGRU layer and reports improved average success rate on 23 POMDP environments, but the headline gains and parameter reductions are not reproducible from the reported tables.
Weakly coupled deep q-networks,
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Bi-directional Recurrence Improves Transformer in Partially Observable Markov Decision Processes
DBGFQN swaps transformer feed-forward networks for a single BiGRU layer and reports improved average success rate on 23 POMDP environments, but the headline gains and parameter reductions are not reproducible from the reported tables.