Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Diversity Actor-Critic: Sample-Aware Entropy Regularization for
  Sample-Efficient Exploration   In this paper, sample-aware policy entropy regularization is proposed to
enhance the conventional policy entropy regularization for better exploration.
Exploiting the sample distribution obtainable from the replay buffer, the
proposed sample-aware entropy regularization maximizes the entropy of the
weighted sum of the policy action distribution and the sample action
distribution from the replay buffer for sample-efficient exploration. A
practical algorithm named diversity actor-critic (DAC) is developed by applying
policy iteration to the objective function with the proposed sample-aware
entropy regularization. Numerical results show that DAC significantly
outperforms existing recent algorithms for reinforcement learning.

18
The categories of this paper are: econ
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
26
The categories of this paper are: bayes-an
14
The categories of this paper are: math-ph
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
9
The categories of this paper are: nlin
33
The categories of this paper are: plasm-ph