Academic literature on the topic 'Counterfactual regret'
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Journal articles on the topic "Counterfactual regret"
Summerville, Amy. "Counterfactual Seeking." Personality and Social Psychology Bulletin 37, no. 11 (July 6, 2011): 1522–33. http://dx.doi.org/10.1177/0146167211413295.
Full textEpstude, Kai, and Neal J. Roese. "When Goal Pursuit Fails." Social Psychology 42, no. 1 (January 2011): 19–27. http://dx.doi.org/10.1027/1864-9335/a000039.
Full textRiddle Harding, Jennifer. "Evaluative stance and counterfactuals in language and literature." Language and Literature: International Journal of Stylistics 16, no. 3 (August 2007): 263–80. http://dx.doi.org/10.1177/0963947007079109.
Full textByrne, Ruth M. J. "Counterfactual Thinking: From Logic to Morality." Current Directions in Psychological Science 26, no. 4 (August 2017): 314–22. http://dx.doi.org/10.1177/0963721417695617.
Full textBrown, Noam, and Tuomas Sandholm. "Solving Imperfect-Information Games via Discounted Regret Minimization." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 1829–36. http://dx.doi.org/10.1609/aaai.v33i01.33011829.
Full textCoricelli, Giorgio, and Aldo Rustichini. "Counterfactual thinking and emotions: regret and envy learning." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1538 (January 27, 2010): 241–47. http://dx.doi.org/10.1098/rstb.2009.0159.
Full textHetts, John J., David S. Boninger, David A. Armor, Faith Gleicher, and Ariel Nathanson. "The influence of anticipated counterfactual regret on behavior." Psychology and Marketing 17, no. 4 (April 2000): 345–68. http://dx.doi.org/10.1002/(sici)1520-6793(200004)17:4<345::aid-mar5>3.0.co;2-m.
Full textPierro, Antonio, Susanne Leder, Lucia Mannetti, E. Tory Higgins, Arie W. Kruglanski, and Antonio Aiello. "Regulatory mode effects on counterfactual thinking and regret." Journal of Experimental Social Psychology 44, no. 2 (March 2008): 321–29. http://dx.doi.org/10.1016/j.jesp.2007.06.002.
Full textLi, Huale, Xuan Wang, Fengwei Jia, Yulin Wu, Jiajia Zhang, and Shuhan Qi. "RLCFR: Minimize counterfactual regret by deep reinforcement learning." Expert Systems with Applications 187 (January 2022): 115953. http://dx.doi.org/10.1016/j.eswa.2021.115953.
Full textNicolle, Antoinette, and Kevin Riggs. "The costs of giving up: Action versus inaction asymmetries in regret." Behavioral and Brain Sciences 36, no. 6 (December 2013): 702. http://dx.doi.org/10.1017/s0140525x13001143.
Full textDissertations / Theses on the topic "Counterfactual regret"
Fenderson, Carl R. "Regret, Relief, and Counterfactual Thinking: The Effect of Outcome Valence on Counterfactual Thinking." Miami University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=miami1407510976.
Full textPutt, Caroline. "The effects of neurological damage on counterfactual thinking, regret, and decision making." Thesis, University of Birmingham, 2018. http://etheses.bham.ac.uk//id/eprint/8083/.
Full textMcCoy, Mark Gordon. "The Dictator Game as a Test of the Social Affiliative Function of Counterfactual Expression." Bowling Green State University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu158550656004591.
Full textBeretta, Andrea. "Impact of counterfactual emotions on the experience of algorithm aversion." Doctoral thesis, Università degli studi di Trento, 2020. http://hdl.handle.net/11572/252452.
Full textТуголукова, Євгенія Валеріївна. "Методи навчання з підкріпленням для гри в покер." Master's thesis, КПІ ім. Ігоря Сікорського, 2020. https://ela.kpi.ua/handle/123456789/40598.
Full textMaster's thesis: 105 pages, 16 figures, 20 tables, 1 appendixes, 43 sources. The object of the work are imperfect information games, on the example of No-limit Texas hold'em for two players. The subject of the work is reinforcement learning methods for solving games with incomplete information. The purpose and goals of the work – to consider the theoretical basis of games with incomplete information, to study existing methods of solving them, to develop software that can optimally solve individual situations in No-limit Texas Hold'em, and game in general, analysis of the developed software. The research is based on scientific publications and other materials of foreign conferences and archives in the field of reinforcement learning, deep learning and finding winning strategies in games. The result is a client for playing No-limit Texas Hold'em, which can automatically make decisions in game situations.
Harding, Jennifer Riddle. "Simple regrets counterfactuals and the dialogic mind /." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/1421.
Full textThesis research directed by: English Language and Literature. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
Westfall, Jonathan E. "Exploring Common Antecedents of Three Related Decision Biases." Connect to full text in OhioLINK ETD Center, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1248468207.
Full textTrifunovic, Milica. "The principle of solidarity: A restatement of John Rawls' law of peoples." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät I, 2013. http://dx.doi.org/10.18452/16728.
Full textIn my disertation I have tried to present a theory of global justice. This theory has for its basis the thought of John Rawls. Rawls expressed his thaughts about the topic in his last book „The Law of Peoples.“ On the one hand I explain his theory while on the other I criticize it. My critique on Rawls goes accoring the following lines: 1. No elaborated disitiniction betwen the ideal and nonideal theory 2. Unfinished principles for the ideal theory of global justice I point to the possible amelioration of Rawls´ theory of global justice through: 1. Differentiation of the normative and descriptive ideal and nonideal theory (through this disticition is the stucture of Rawls´ argument clearer) 2. Introduction of three prinicples that should have been Rawls´s (through these three principles the content of his theory becomes more valuable) 3. Eplaning the principle of solidarity as the principle that could have been the specific for Rawls´ theory
Reis, João dos Santos Rodrigues Soares dos. "A GPU implementation of Counterfactual Regret Minimization." Dissertação, 2015. https://repositorio-aberto.up.pt/handle/10216/83517.
Full textNotable milestones in the advancement of Artificial Intelligence have been achieved through solving games. Regret minimization is a technique that has seen a lot of use in the context of solving games in the past few years. In particular, Counterfactual Regret Minimization (CFR) is an algorithm that applies this technique and can be used to find equilibria in massive games. Therefore, one can use an algorithm like this to develop an agent with a very solid strategy for such games.One issue with this algorithm is the amount of execution time it requires, especially when applied to large extensive games. To address this issue, games are usually abstracted which can lead to worse solutions.This dissertation proposes an implementation of CFR that runs on the GPU, using CUDA, which is able to take advantage of the ability of GPUs to process many parallel streams of data. Using this approach, it is possible to reduce the execution time in some Poker variants, as our results demonstrate. This means that this approach has the potential to allow the computation of Nash Equilibria for games with a larger search space than before.
Velho, Nuno José da Rocha. "Implementação iterativa do algoritmo counterfactual regret minimization." Dissertação, 2014. https://repositorio-aberto.up.pt/handle/10216/74071.
Full textBooks on the topic "Counterfactual regret"
If only: How to turn regret into opportunity. New York: Broadway Books, 2005.
Find full textBook chapters on the topic "Counterfactual regret"
Maitzen, Stephen. "The Counterfactual Past, Death, and Regret." In Determinism, Death, and Meaning, 121–59. New York: Routledge, 2021. http://dx.doi.org/10.4324/9781003229117-5.
Full textNeller, Todd W., and Steven Hnath. "Approximating Optimal Dudo Play with Fixed-Strategy Iteration Counterfactual Regret Minimization." In Lecture Notes in Computer Science, 170–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31866-5_15.
Full textMiller, Dale T., and Brian R. Taylor. "Counterfactual Thought, Regret, and Superstition: How to Avoid Kicking Yourself." In Heuristics and Biases, 367–78. Cambridge University Press, 2002. http://dx.doi.org/10.1017/cbo9780511808098.023.
Full text"Looking Back: From Metanoia to Buyer’s Regret." In Counterfactuals. Bloomsbury Academic, 2019. http://dx.doi.org/10.5040/9781350090118.ch-005.
Full textHarding, Jennifer Riddle. "Complex Regrets." In Similes, Puns, and Counterfactuals in Literary Narrative, 128–39. Routledge, 2017. http://dx.doi.org/10.4324/9781315682020-7.
Full textConference papers on the topic "Counterfactual regret"
Zhang, Jie, Kefan Li, Baoming Zhang, Ming Xu, and Chongjun Wang. "Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game." In 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2021. http://dx.doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00195.
Full textCotae, Paul, and Nii Emil Alexander Reindorf. "Using Counterfactual Regret Minimization and Monte Carlo Tree Search for Cybersecurity Threats." In 2021 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). IEEE, 2021. http://dx.doi.org/10.1109/blackseacom52164.2021.9527857.
Full textLi, Shuxin, Youzhi Zhang, Xinrun Wang, Wanqi Xue, and Bo An. "CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/504.
Full textHu, Xiaoyan, Li Xia, Jun Yang, and Qianchuan Zhao. "A Fast-Convergence Method of Monte Carlo Counterfactual Regret Minimization for Imperfect Information Dynamic Games." In 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2020. http://dx.doi.org/10.1109/ddcls49620.2020.9275075.
Full textLockhart, Edward, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr TImbers, and Karl Tuyls. "Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/66.
Full textČermák, Jiří, Viliam Lisý, and Branislav Bošanský. "Automated Construction of Bounded-Loss Imperfect-Recall Abstractions in Extensive-Form Games (Extended Abstract)." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/701.
Full textGrujić, Tatjana. "L2 TENSE TRANSFER IN EFL LEARNING." In SCIENCE AND TEACHING IN EDUCATIONAL CONTEXT. FACULTY OF EDUCATION IN UŽICE, UNIVERSITY OF KRAGUJEVAC, 2020. http://dx.doi.org/10.46793/stec20.441g.
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