Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: DORB: Dynamically Optimizing Multiple Rewards with Bandits   Policy gradients-based reinforcement learning has proven to be a promising
approach for directly optimizing non-differentiable evaluation metrics for
language generation tasks. However, optimizing for a specific metric reward
leads to improvements in mostly that metric only, suggesting that the model is
gaming the formulation of that metric in a particular way without often
achieving real qualitative improvements. Hence, it is more beneficial to make
the model optimize multiple diverse metric rewards jointly. While appealing,
this is challenging because one needs to manually decide the importance and
scaling weights of these metric rewards. Further, it is important to consider
using a dynamic combination and curriculum of metric rewards that flexibly
changes over time. Considering the above aspects, in our work, we automate the
optimization of multiple metric rewards simultaneously via a multi-armed bandit
approach (DORB), where at each round, the bandit chooses which metric reward to
optimize next, based on expected arm gains. We use the Exp3 algorithm for
bandits and formulate two approaches for bandit rewards: (1) Single
Multi-reward Bandit (SM-Bandit); (2) Hierarchical Multi-reward Bandit
(HM-Bandit). We empirically show the effectiveness of our approaches via
various automatic metrics and human evaluation on two important NLG tasks:
question generation and data-to-text generation, including on an unseen-test
transfer setup. Finally, we present interpretable analyses of the learned
bandit curriculum over the optimized rewards.

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The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
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The categories of this paper are: adap-org
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The categories of this paper are: math-ph
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci