Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement
  Learning   Apart from the coherence and fluency of responses, an empathetic chatbot
emphasizes more on people's feelings. By considering altruistic behaviors
between human interaction, empathetic chatbots enable people to get a better
interactive and supportive experience. This study presents a framework whereby
several empathetic chatbots are based on understanding users' implied feelings
and replying empathetically for multiple dialogue turns. We call these chatbots
CheerBots. CheerBots can be retrieval-based or generative-based and were
finetuned by deep reinforcement learning. To respond in an empathetic way, we
develop a simulating agent, a Conceptual Human Model, as aids for CheerBots in
training with considerations on changes in user's emotional states in the
future to arouse sympathy. Finally, automatic metrics and human rating results
demonstrate that CheerBots outperform other baseline chatbots and achieves
reciprocal altruism. The code and the pre-trained models will be made
available.

0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
11
The categories of this paper are: hep-lat
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org