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Human-centric Dialog Training via Offline Reinforcement Learning

Human-centric Dialog Training via Offline Reinforcement Learning

12 October 2020
Natasha Jaques
J. Shen
Asma Ghandeharioun
Craig Ferguson
Àgata Lapedriza
Noah J. Jones
S. Gu
Rosalind W. Picard
    OffRL
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Papers citing "Human-centric Dialog Training via Offline Reinforcement Learning"

30 / 30 papers shown
Title
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval
Kidist Amde Mekonnen
Yubao Tang
Maarten de Rijke
60
0
0
07 Apr 2025
Prompt Optimization with Logged Bandit Data
Prompt Optimization with Logged Bandit Data
Haruka Kiyohara
Daniel Yiming Cao
Yuta Saito
Thorsten Joachims
64
0
0
03 Apr 2025
Problem Solving Through Human-AI Preference-Based Cooperation
Problem Solving Through Human-AI Preference-Based Cooperation
Subhabrata Dutta
Timo Kaufmann
Goran Glavas
Ivan Habernal
Kristian Kersting
Frauke Kreuter
Mira Mezini
Iryna Gurevych
Eyke Hüllermeier
Hinrich Schuetze
98
1
0
14 Aug 2024
Prompt-Based Length Controlled Generation with Reinforcement Learning
Prompt-Based Length Controlled Generation with Reinforcement Learning
Renlong Jie
Xiaojun Meng
Lifeng Shang
Xin Jiang
Qun Liu
17
8
0
23 Aug 2023
Preference-grounded Token-level Guidance for Language Model Fine-tuning
Preference-grounded Token-level Guidance for Language Model Fine-tuning
Shentao Yang
Shujian Zhang
Congying Xia
Yihao Feng
Caiming Xiong
Mi Zhou
29
23
0
01 Jun 2023
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning
  in Goal-Oriented Dialogue Models
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models
Qiang Zhang
Jason Naradowsky
Yusuke Miyao
ELM
26
32
0
29 May 2023
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via
  Pessimism
Reinforcement Learning with Human Feedback: Learning Dynamic Choices via Pessimism
Zihao Li
Zhuoran Yang
Mengdi Wang
OffRL
31
54
0
29 May 2023
Continually Improving Extractive QA via Human Feedback
Continually Improving Extractive QA via Human Feedback
Ge Gao
Hung-Ting Chen
Yoav Artzi
Eunsol Choi
26
12
0
21 May 2023
Deep RL with Hierarchical Action Exploration for Dialogue Generation
Deep RL with Hierarchical Action Exploration for Dialogue Generation
Itsugun Cho
Ryota Takahashi
Yusaku Yanase
Hiroaki Saito
25
2
0
22 Mar 2023
CausalDialogue: Modeling Utterance-level Causality in Conversations
CausalDialogue: Modeling Utterance-level Causality in Conversations
Yi-Lin Tuan
Alon Albalak
Wenda Xu
Michael Stephen Saxon
Connor Pryor
Lise Getoor
William Yang Wang
CML
37
2
0
20 Dec 2022
Let Offline RL Flow: Training Conservative Agents in the Latent Space of
  Normalizing Flows
Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows
D. Akimov
Vladislav Kurenkov
Alexander Nikulin
Denis Tarasov
Sergey Kolesnikov
OffRL
19
9
0
20 Nov 2022
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs
Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs
Maarten Sap
Ronan Le Bras
Daniel Fried
Yejin Choi
27
209
0
24 Oct 2022
Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
Rajkumar Ramamurthy
Prithviraj Ammanabrolu
Kianté Brantley
Jack Hessel
R. Sifa
Christian Bauckhage
Hannaneh Hajishirzi
Yejin Choi
OffRL
31
240
0
03 Oct 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
74
45
0
16 Sep 2022
Towards Boosting the Open-Domain Chatbot with Human Feedback
Towards Boosting the Open-Domain Chatbot with Human Feedback
Hua Lu
Siqi Bao
H. He
Fan Wang
Hua Wu
Haifeng Wang
ALM
20
18
0
30 Aug 2022
Offline RL for Natural Language Generation with Implicit Language Q
  Learning
Offline RL for Natural Language Generation with Implicit Language Q Learning
Charles Burton Snell
Ilya Kostrikov
Yi Su
Mengjiao Yang
Sergey Levine
OffRL
128
102
0
05 Jun 2022
Knowledge Infused Decoding
Knowledge Infused Decoding
Ruibo Liu
Guoqing Zheng
Shashank Gupta
Radhika Gaonkar
Chongyang Gao
Soroush Vosoughi
Milad Shokouhi
Ahmed Hassan Awadallah
KELM
25
14
0
06 Apr 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
140
95
0
28 Jan 2022
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Pessimistic Model Selection for Offline Deep Reinforcement Learning
Chao-Han Huck Yang
Zhengling Qi
Yifan Cui
Pin-Yu Chen
OffRL
24
4
0
29 Nov 2021
Offline Reinforcement Learning with Soft Behavior Regularization
Offline Reinforcement Learning with Soft Behavior Regularization
Haoran Xu
Xianyuan Zhan
Jianxiong Li
Honglei Yin
OffRL
26
31
0
14 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
35
77
0
16 Sep 2021
Continual Learning for Grounded Instruction Generation by Observing
  Human Following Behavior
Continual Learning for Grounded Instruction Generation by Observing Human Following Behavior
Noriyuki Kojima
Alane Suhr
Yoav Artzi
25
24
0
10 Aug 2021
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic
  Survey
Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey
Jinjie Ni
Tom Young
Vlad Pandelea
Fuzhao Xue
Min Zhang
54
268
0
10 May 2021
COMBO: Conservative Offline Model-Based Policy Optimization
COMBO: Conservative Offline Model-Based Policy Optimization
Tianhe Yu
Aviral Kumar
Rafael Rafailov
Aravind Rajeswaran
Sergey Levine
Chelsea Finn
OffRL
219
415
0
16 Feb 2021
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline
  and Online RL
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL
Seyed Kamyar Seyed Ghasemipour
Dale Schuurmans
S. Gu
OffRL
209
119
0
21 Jul 2020
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
298
1,610
0
18 Sep 2019
Dialogue Learning With Human-In-The-Loop
Dialogue Learning With Human-In-The-Loop
Jiwei Li
Alexander H. Miller
S. Chopra
MarcÁurelio Ranzato
Jason Weston
OffRL
227
134
0
29 Nov 2016
Deep Reinforcement Learning for Dialogue Generation
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li
Will Monroe
Alan Ritter
Michel Galley
Jianfeng Gao
Dan Jurafsky
214
1,327
0
05 Jun 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
Off-Policy Actor-Critic
Off-Policy Actor-Critic
T. Degris
Martha White
R. Sutton
OffRL
CML
163
220
0
22 May 2012
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