Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: RBED: Reward Based Epsilon Decay   $\varepsilon$-greedy is a policy used to balance exploration and exploitation
in many reinforcement learning setting. In cases where the agent uses some
on-policy algorithm to learn optimal behaviour, it makes sense for the agent to
explore more initially and eventually exploit more as it approaches the target
behaviour. This shift from heavy exploration to heavy exploitation can be
represented as decay in the $\varepsilon$ value, where $\varepsilon$ depicts
the how much an agent is allowed to explore. This paper proposes a new approach
to this $\varepsilon$ decay where the decay is based on feedback from the
environment. This paper also compares and contrasts one such approach based on
rewards and compares it against standard exponential decay. The new approach,
in the environments tested, produces more consistent results that on average
perform better.

11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
16
The categories of this paper are: stat