Paper Citation Record · LEDGER

Ensemble-Based Deep Reinforcement Learning for Chatbots

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:1908.10422.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1908.10422 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

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measured 55 of 55 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation 198905eb-ac97-4d60-bf68-5b9907fec990 · outbound

This paper cites an unresolved cited work.

Ensemble-Based Deep Reinforcement Learning for Chatbots Unresolved cited work

Reference 1

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Ensemble-Based Deep Reinforcement Learning for Chatbots Unresolved cited work

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This paper cites Hastie, R.

Ensemble-Based Deep Reinforcement Learning for Chatbots Hastie, R

Reference 3

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This paper cites LeCun, Y.

Ensemble-Based Deep Reinforcement Learning for Chatbots LeCun, Y

Reference 4

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This paper cites A Deep Reinforcement Learning Chatbot (Short Version).

Ensemble-Based Deep Reinforcement Learning for Chatbots A Deep Reinforcement Learning Chatbot (Short Version)

Reference 5

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Observation 2442c58c-e381-4f9f-b9f8-c6792501d59f · outbound

This paper cites Deep Reinforcement Learning: An Overview.

Ensemble-Based Deep Reinforcement Learning for Chatbots Deep Reinforcement Learning: An Overview

Reference 9

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This paper cites Casanueva, P.

Ensemble-Based Deep Reinforcement Learning for Chatbots Casanueva, P

Reference 10

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Observation 90b02493-1bd4-4bb5-85f3-c8a46138bad6 · outbound

This paper cites Cuay ´ahuitl, S.

Ensemble-Based Deep Reinforcement Learning for Chatbots Cuay ´ahuitl, S

Reference 11

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Observation fd476b79-e27b-442b-a8dc-0b05efbb8607 · outbound

This paper cites Cuay ´ahuitl, S.

Ensemble-Based Deep Reinforcement Learning for Chatbots Cuay ´ahuitl, S

Reference 12

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This paper cites Cuay ´ahuitl, SimpleDS: A simple deep reinforcement learning dialogue sys- tem, in: International Workshop on Spoken Dialogue Systems (IWSDS), 2016.

Ensemble-Based Deep Reinforcement Learning for Chatbots Cuay ´ahuitl, SimpleDS: A simple deep reinforcement learning dialogue sys- tem, in: International Workshop on Spoken Dialogue Systems (IWSDS), 2016

Reference 15

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Observation 179466a4-4189-4e33-b1ea-c25aa96f8770 · outbound

This paper cites A Neural Conversational Model.

Ensemble-Based Deep Reinforcement Learning for Chatbots A Neural Conversational Model

Reference 17

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This paper cites Sordoni, M.

Ensemble-Based Deep Reinforcement Learning for Chatbots Sordoni, M

Reference 18

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This paper cites Personalizing Dialogue Agents: I have a dog, do you have pets too?.

Ensemble-Based Deep Reinforcement Learning for Chatbots Personalizing Dialogue Agents: I have a dog, do you have pets too?

Reference 22

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Ensemble-Based Deep Reinforcement Learning for Chatbots Sutskever, O

Reference 23

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This paper cites An Ensemble Model with Ranking for Social Dialogue.

Ensemble-Based Deep Reinforcement Learning for Chatbots An Ensemble Model with Ranking for Social Dialogue

Reference 25

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Ensemble-Based Deep Reinforcement Learning for Chatbots Papineni, S

Reference 27

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This paper cites Lavie, A.

Ensemble-Based Deep Reinforcement Learning for Chatbots Lavie, A

Reference 28

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This paper cites Szepesv ´ari, Algorithms for Reinforcement Learning, Morgan and Claypool Publishers, 2010.

Ensemble-Based Deep Reinforcement Learning for Chatbots Szepesv ´ari, Algorithms for Reinforcement Learning, Morgan and Claypool Publishers, 2010

Reference 30

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Ensemble-Based Deep Reinforcement Learning for Chatbots van Hasselt, A

Reference 32

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This paper cites Cuay ´ahuitl, S.

Ensemble-Based Deep Reinforcement Learning for Chatbots Cuay ´ahuitl, S

Reference 34

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Ensemble-Based Deep Reinforcement Learning for Chatbots liang Chen, L

Reference 36

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This paper cites Today’s Practice and Tomorrow’s Potential.

Ensemble-Based Deep Reinforcement Learning for Chatbots Today’s Practice and Tomorrow’s Potential

Reference 37

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Ensemble-Based Deep Reinforcement Learning for Chatbots Mikolov, I

Reference 38

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Ensemble-Based Deep Reinforcement Learning for Chatbots Pennington, R

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Ensemble-Based Deep Reinforcement Learning for Chatbots Iyyer, V

Reference 40

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Ensemble-Based Deep Reinforcement Learning for Chatbots Arthur, S

Reference 41

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Ensemble-Based Deep Reinforcement Learning for Chatbots Ioffe, C

Reference 45

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Ensemble-Based Deep Reinforcement Learning for Chatbots Devlin, M

Reference 46

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Ensemble-Based Deep Reinforcement Learning for Chatbots Universal Sentence Encoder

Reference 47

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Reference 48

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Reference 49

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Ensemble-Based Deep Reinforcement Learning for Chatbots Papaioannou, O

Reference 50

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This paper cites Cuay ´ahuitl, S.

Ensemble-Based Deep Reinforcement Learning for Chatbots Cuay ´ahuitl, S

Reference 51

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Observation 393e050d-ef02-4dde-b0ad-33e3f3552088 · outbound

This paper cites Dethlefs, Domain transfer for deep natural language generation from abstract meaning representations, IEEE Comp.

Ensemble-Based Deep Reinforcement Learning for Chatbots Dethlefs, Domain transfer for deep natural language generation from abstract meaning representations, IEEE Comp

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T10:49:53.912889Z

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Observation 0f6c87cc-a5c9-4ac3-b640-05bf49db5743 · outbound

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Reference 53

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Reference 54

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Observation 9a2c0696-4e1b-46a6-be3a-0c98626c1015 · outbound

This paper cites Cuay ´ahuitl, A data-efﬁcient deep learning approach for deployable multimodal social robots, Neurocomputing, issn 0925-2312, 2019.

Ensemble-Based Deep Reinforcement Learning for Chatbots Cuay ´ahuitl, A data-efﬁcient deep learning approach for deployable multimodal social robots, Neurocomputing, issn 0925-2312, 2019

Reference 55

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Pith citing papers

No inbound Pith citation observations are available.