Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive
  Transfer from multiple sources in the same domain   Transferring knowledge from prior source tasks in solving a new target task
can be useful in several learning applications. The application of transfer
poses two serious challenges which have not been adequately addressed. First,
the agent should be able to avoid negative transfer, which happens when the
transfer hampers or slows down the learning instead of helping it. Second, the
agent should be able to selectively transfer, which is the ability to select
and transfer from different and multiple source tasks for different parts of
the state space of the target task. We propose A2T (Attend, Adapt and
Transfer), an attentive deep architecture which adapts and transfers from these
source tasks. Our model is generic enough to effect transfer of either policies
or value functions. Empirical evaluations on different learning algorithms show
that A2T is an effective architecture for transfer by being able to avoid
negative transfer while transferring selectively from multiple source tasks in
the same domain.

12
The categories of this paper are: nucl-th
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
18
The categories of this paper are: econ
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas