Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Story of Two Streams: Reinforcement Learning Models from Human
  Behavior and Neuropsychiatry   Drawing an inspiration from behavioral studies of human decision making, we
propose here a more general and flexible parametric framework for reinforcement
learning that extends standard Q-learning to a two-stream model for processing
positive and negative rewards, and allows to incorporate a wide range of
reward-processing biases -- an important component of human decision making
which can help us better understand a wide spectrum of multi-agent interactions
in complex real-world socioeconomic systems, as well as various
neuropsychiatric conditions associated with disruptions in normal reward
processing. From the computational perspective, we observe that the proposed
Split-QL model and its clinically inspired variants consistently outperform
standard Q-Learning and SARSA methods, as well as recently proposed Double
Q-Learning approaches, on simulated tasks with particular reward distributions,
a real-world dataset capturing human decision-making in gambling tasks, and the
Pac-Man game in a lifelong learning setting across different reward
stationarities.

11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
20
The categories of this paper are: acc-phys
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
3
The categories of this paper are: physics
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
24
The categories of this paper are: dg-ga